diff --git a/plugin-server/package.json b/plugin-server/package.json
index c324b9a8e94c5..4c12e76998b01 100644
--- a/plugin-server/package.json
+++ b/plugin-server/package.json
@@ -75,6 +75,7 @@
         "graphile-worker": "0.13.0",
         "ioredis": "^4.27.6",
         "ipaddr.js": "^2.1.0",
+        "js-big-decimal": "^2.2.0",
         "kafkajs": "^2.2.0",
         "kafkajs-snappy": "^1.1.0",
         "lru-cache": "^6.0.0",
diff --git a/plugin-server/pnpm-lock.yaml b/plugin-server/pnpm-lock.yaml
index 5c595b115028c..c2c42164689ad 100644
--- a/plugin-server/pnpm-lock.yaml
+++ b/plugin-server/pnpm-lock.yaml
@@ -1,4 +1,4 @@
-lockfileVersion: '6.0'
+lockfileVersion: '6.1'
 
 settings:
   autoInstallPeers: true
@@ -109,6 +109,9 @@ dependencies:
   ipaddr.js:
     specifier: ^2.1.0
     version: 2.1.0
+  js-big-decimal:
+    specifier: ^2.2.0
+    version: 2.2.0
   kafkajs:
     specifier: ^2.2.0
     version: 2.2.4
@@ -8039,6 +8042,10 @@ packages:
     engines: {node: '>=10'}
     dev: true
 
+  /js-big-decimal@2.2.0:
+    resolution: {integrity: sha512-qJFDTcgBGvuPzsck0jNm1puKvJQ3AL8J3bIyrvF1KfsbljOVj8N/o9Kbr8RXlBx1J8aapcRpMCiG6h1l6QgYhQ==}
+    dev: false
+
   /js-tokens@4.0.0:
     resolution: {integrity: sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==}
 
@@ -11162,4 +11169,5 @@ packages:
   file:../rust/cyclotron-node:
     resolution: {directory: ../rust/cyclotron-node, type: directory}
     name: '@posthog/cyclotron'
+    version: 0.1.7
     dev: false
diff --git a/plugin-server/src/types.ts b/plugin-server/src/types.ts
index a30d384d2730a..8be4dd1e78440 100644
--- a/plugin-server/src/types.ts
+++ b/plugin-server/src/types.ts
@@ -1270,3 +1270,58 @@ export type AppMetric2Type = {
         | 'fetch'
     count: number
 }
+
+interface TextOperator {
+    operator: 'equals' | 'startsWith' | 'includes'
+    value: string
+}
+
+export interface ModelDetails {
+    matches: string[]
+    searchTerms: string[]
+    info: {
+        releaseDate: string
+        maxTokens?: number
+        description: string
+        tradeOffs: string[]
+        benchmarks: {
+            [key: string]: number
+        }
+        capabilities: string[]
+        strengths: string[]
+        weaknesses: string[]
+        recommendations: string[]
+    }
+}
+
+export type ModelDetailsMap = {
+    [key: string]: ModelDetails
+}
+
+export interface ModelRow {
+    model: TextOperator
+    cost: {
+        prompt_token: number
+        completion_token: number
+    }
+    showInPlayground?: boolean
+    targetUrl?: string
+    dateRange?: {
+        start: string
+        end: string
+    }
+}
+
+export interface ModelRow {
+    model: TextOperator
+    cost: {
+        prompt_token: number
+        completion_token: number
+    }
+    showInPlayground?: boolean
+    targetUrl?: string
+    dateRange?: {
+        start: string
+        end: string
+    }
+}
diff --git a/plugin-server/src/utils/ai-cost-data/anthropic/index.ts b/plugin-server/src/utils/ai-cost-data/anthropic/index.ts
new file mode 100644
index 0000000000000..d7204071bb5d9
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/anthropic/index.ts
@@ -0,0 +1,479 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelDetailsMap, ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-instant-1',
+        },
+        cost: {
+            prompt_token: 0.00000163,
+            completion_token: 0.0000551,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-v1',
+        },
+        cost: {
+            prompt_token: 0.000008,
+            completion_token: 0.000024,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-2',
+        },
+        cost: {
+            prompt_token: 0.000008,
+            completion_token: 0.000024,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-instant-1.2',
+        },
+        cost: {
+            prompt_token: 0.00000163,
+            completion_token: 0.00000551,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-2.0',
+        },
+        cost: {
+            prompt_token: 0.00001102,
+            completion_token: 0.00003268,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-3-opus-20240229',
+        },
+        cost: {
+            prompt_token: 0.000015,
+            completion_token: 0.000075,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-3-sonnet-20240229',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000015,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-3-5-sonnet-20240620',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000015,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-3-5-sonnet-20241022',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000015,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-3-haiku-20240307',
+        },
+        cost: {
+            prompt_token: 0.00000025,
+            completion_token: 0.00000125,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-3-5-haiku-20241022',
+        },
+        cost: {
+            prompt_token: 0.000001,
+            completion_token: 0.000005,
+        },
+        showInPlayground: true,
+    },
+]
+
+export const modelDetails: ModelDetailsMap = {
+    'claude-3-opus': {
+        matches: ['claude-3-opus-20240229'],
+        searchTerms: ['claude 3 opus', 'claude-3-opus', 'opus'],
+        info: {
+            maxTokens: 200000,
+            releaseDate: '2024-03-04',
+            description:
+                "Claude 3 Opus is Anthropic's most advanced model, demonstrating exceptional performance across complex tasks with near-perfect recall in long-context scenarios and sophisticated capabilities in coding, analysis, and creative work.",
+            tradeOffs: [
+                'Premium pricing reflects advanced capabilities',
+                'Higher latency due to model complexity',
+                'Resource-intensive for optimal performance',
+            ],
+            benchmarks: {
+                mmlu: 0.868,
+                hellaswag: 0.954,
+                bbh: 0.868,
+                math: 0.952,
+            },
+            capabilities: [
+                'Near-perfect recall with 200k context window',
+                'Advanced mathematical reasoning and problem-solving',
+                'Superior code generation and debugging',
+                'Complex document analysis and summarization',
+                'Sophisticated data extraction and interpretation',
+                'Multi-step reasoning tasks',
+                'Advanced pattern recognition',
+            ],
+            strengths: [
+                'Exceptional context handling (>99% accuracy in NIAH tests)',
+                'Strong performance in mathematical tasks (95.2% accuracy)',
+                'Advanced code generation capabilities (68.4% success rate)',
+                'Precise document summarization',
+                'Focused and actionable responses',
+                'Self-awareness in identifying artificial content',
+                'Consistent performance across diverse tasks',
+            ],
+            weaknesses: [
+                'Occasional struggles with PDF data extraction',
+                'Challenges with heat map interpretation',
+                'Potential for hallucination in visual analysis',
+                'May return errors for certain coding edge cases',
+                'Higher latency compared to lighter models',
+            ],
+            recommendations: [
+                'Large-context processing applications',
+                'Complex mathematical and analytical tasks',
+                'Advanced software development projects',
+                'Detailed document analysis and summarization',
+                'Research and academic applications',
+                'Enterprise-grade AI solutions',
+                'Tasks requiring high accuracy and reliability',
+            ],
+        },
+    },
+    'claude-3-sonnet': {
+        matches: ['claude-3-sonnet-20240229', 'claude-3-5-sonnet-20240620', 'claude-3-5-sonnet-20241022'],
+        searchTerms: ['claude 3 sonnet', 'claude-3-sonnet', 'sonnet', 'claude 3.5 sonnet'],
+        info: {
+            maxTokens: 200000,
+            releaseDate: '2024-03-04',
+            description:
+                'Claude 3 Sonnet offers a strong balance of intelligence and speed, suitable for most use cases.',
+            tradeOffs: ['Lower cost than Opus', 'Slightly reduced capabilities compared to Opus'],
+            benchmarks: {
+                mmlu: 0.887, // 88.7% on MMLU
+                hellaswag: 0.89, // 89% on HellaSwag
+                bbh: 0.931,
+            },
+            capabilities: [
+                'General reasoning and analysis',
+                'Code generation and review',
+                'Content creation and editing',
+                'Task automation',
+                'Data analysis',
+            ],
+            strengths: [
+                'Balanced performance profile',
+                'Reliable output quality',
+                'Good response speed',
+                'Strong general knowledge',
+                'Versatile across many tasks',
+            ],
+            weaknesses: [
+                'May need guidance on complex tasks',
+                'Less specialized than Opus',
+                'Moderate processing speed',
+            ],
+            recommendations: [
+                'General purpose development',
+                'Content creation and editing',
+                'Business analysis',
+                'Educational applications',
+                'Daily productivity tasks',
+            ],
+        },
+    },
+    'claude-3-haiku': {
+        matches: ['claude-3-haiku-20240307', 'claude-3-5-haiku-20241022'],
+        searchTerms: ['claude 3 haiku', 'claude-3-haiku', 'haiku', 'claude 3.5 haiku'],
+        info: {
+            maxTokens: 200000,
+            releaseDate: '2024-03-04',
+            description:
+                'Claude 3 Haiku is optimized for rapid response times and high throughput, delivering impressive speed while maintaining reliable performance. It excels in scenarios requiring quick interactions and efficient processing of straightforward tasks.',
+            tradeOffs: [
+                'Optimized for speed and efficiency',
+                'Excellent performance-to-cost ratio',
+                'Best suited for high-throughput applications',
+                'Balance of speed and reliability',
+            ],
+            benchmarks: {
+                mmlu: 0.752,
+                hellaswag: 0.859,
+                bbh: 0.737,
+            },
+            capabilities: [
+                'High-speed token generation (134 tokens/sec)',
+                'Low latency responses (0.43s to first token)',
+                'Efficient streaming support',
+                'Function/tool calling',
+                'JSON mode support',
+                'Parallel query processing',
+                'Context window handling up to 200k tokens',
+            ],
+            strengths: [
+                'Superior output speed (134.2 tokens/second)',
+                'Minimal latency (0.43s TTFT)',
+                'Consistent performance across context lengths',
+                'Efficient resource utilization',
+                'Cost-effective processing',
+                'Reliable API features',
+                'Stable performance over time',
+            ],
+            weaknesses: [
+                'Performance varies with input length',
+                'Latency increases with context size',
+                'Lower quality index compared to larger models',
+                'Variable speed with parallel processing',
+                'Response time sensitivity to input complexity',
+            ],
+            recommendations: [
+                'Real-time applications',
+                'Customer service automation',
+                'Quick content checks',
+                'Simple queries and responses',
+                'High-volume, straightforward tasks',
+            ],
+        },
+    },
+    'claude-2': {
+        matches: ['claude-2', 'claude-2.0'],
+        searchTerms: ['claude 2', 'claude-2'],
+        info: {
+            maxTokens: 200000,
+            releaseDate: '2023-07-11',
+            description:
+                "Claude 2 is Anthropic's previous generation model, offering reliable performance for various tasks.",
+            tradeOffs: ['More affordable than Claude 3', 'Less capable than newer models'],
+            benchmarks: {},
+            capabilities: [
+                'General text generation',
+                'Basic analysis',
+                'Code assistance',
+                'Content creation',
+                'Task automation',
+            ],
+            strengths: [
+                'Stable performance',
+                'Reliable outputs',
+                'Good general knowledge',
+                'Cost-effective',
+                'Proven track record',
+            ],
+            weaknesses: ['Older architecture', 'Limited advanced features', 'Less refined outputs'],
+            recommendations: [
+                'Legacy applications',
+                'Basic automation',
+                'General text processing',
+                'Simple analysis tasks',
+                'Standard content creation',
+            ],
+        },
+    },
+    'claude-instant': {
+        matches: ['claude-instant-1', 'claude-instant-1.2'],
+        searchTerms: ['claude instant', 'claude-instant'],
+        info: {
+            maxTokens: 100000,
+            releaseDate: '2023-08-09',
+            description: "Claude Instant is Anthropic's faster, lighter previous generation model.",
+            tradeOffs: ['Fastest response times in Claude 2 series', 'Most affordable', 'Reduced capabilities'],
+            benchmarks: {
+                mmlu: 0.734,
+            },
+            capabilities: [
+                'Quick responses',
+                'Basic text processing',
+                'Simple queries',
+                'Lightweight tasks',
+                'Efficient processing',
+            ],
+            strengths: [
+                'Fast processing speed',
+                'Resource efficient',
+                'Cost-effective',
+                'Consistent performance',
+                'Low latency',
+            ],
+            weaknesses: ['Basic capabilities only', 'Limited analysis depth', 'Simpler responses'],
+            recommendations: [
+                'Quick response systems',
+                'Basic chatbots',
+                'Simple automation',
+                'High-volume processing',
+                'Efficient text handling',
+            ],
+        },
+    },
+    'claude-3.5-sonnet': {
+        matches: ['claude-3-5-sonnet-20240620', 'claude-3-5-sonnet-20241022'],
+        searchTerms: ['claude 3.5 sonnet', 'claude-3-5-sonnet'],
+        info: {
+            maxTokens: 200000,
+            releaseDate: '2024-06-20',
+            description:
+                "Claude 3.5 Sonnet is Anthropic's latest model, delivering enhanced performance with optimized speed and efficiency. It excels in graduate-level reasoning, undergraduate knowledge, and code generation while maintaining high throughput.",
+            tradeOffs: [
+                'Balanced performance-to-cost ratio',
+                'Optimized for production workloads',
+                'High throughput with moderate latency',
+                'Strong accuracy with reasonable resource usage',
+            ],
+            benchmarks: {
+                mmlu: 0.887,
+                hellaswag: 0.89,
+                bbh: 0.931,
+                multilingual_math: 0.916, // 91.6% on multilingual math tasks
+                reasoning_over_text: 0.871, // 87.1% on reasoning over text
+            },
+            capabilities: [
+                'Advanced graduate-level reasoning',
+                'Strong undergraduate knowledge base',
+                'Superior code generation and review',
+                'Complex data extraction and analysis',
+                'Multi-step problem solving',
+                'High-accuracy classification tasks',
+                'Efficient document processing',
+            ],
+            strengths: [
+                'Exceptional coding performance',
+                'High precision in classification (85%)',
+                'Strong data extraction capabilities',
+                'Efficient throughput (~79 tokens/second)',
+                'Reliable performance on complex tasks',
+                'Excellent multilingual math processing',
+                'Superior text reasoning abilities',
+            ],
+            weaknesses: [
+                'Lower performance on abstract reasoning puzzles',
+                'Struggles with numerical and date-related questions',
+                'May introduce regressions in certain classification scenarios',
+                'Requires clear prompting for optimal performance',
+                'Variable performance on complex extraction tasks',
+            ],
+            recommendations: [
+                'Production-grade applications requiring reliability',
+                'Code generation and review systems',
+                'Complex data extraction pipelines',
+                'High-accuracy classification systems',
+                'Document analysis and processing',
+                'Educational and academic applications',
+                'Enterprise-scale deployments',
+            ],
+        },
+    },
+    'claude-3.5-haiku': {
+        matches: ['claude-3-5-haiku-20241022'],
+        searchTerms: ['claude 3.5 haiku', 'claude-3-5-haiku'],
+        info: {
+            maxTokens: 200000,
+            releaseDate: '2024-10-22',
+            description:
+                'Claude 3.5 Haiku represents a significant advancement in high-throughput, cost-effective AI processing. It delivers enhanced performance over its predecessor while maintaining exceptional speed and efficiency, making it ideal for large-scale applications requiring quick responses.',
+            tradeOffs: [
+                'Optimized for maximum throughput',
+                'Enhanced speed-to-performance ratio',
+                'Improved cost efficiency',
+                'Better balance of speed and accuracy',
+            ],
+            benchmarks: {
+                quality_index: 62, // Improved Quality Index over Claude 3 Haiku
+                throughput: 145, // tokens per second
+                ttft: 0.39, // Time to First Token in seconds
+            },
+            capabilities: [
+                'Enhanced token generation speed (145 tokens/sec)',
+                'Reduced latency (0.39s to first token)',
+                'Improved parallel processing',
+                'Advanced streaming capabilities',
+                'Robust function calling',
+                'Enhanced JSON mode reliability',
+                'Efficient context handling up to 200k tokens',
+                'Improved error handling',
+            ],
+            strengths: [
+                'Superior throughput (145 tokens/second)',
+                'Minimal startup latency (0.39s TTFT)',
+                'Enhanced stability under load',
+                'Improved response consistency',
+                'Better error recovery',
+                'More reliable streaming',
+                'Enhanced parallel processing capabilities',
+                'Optimized resource utilization',
+            ],
+            weaknesses: [
+                'Performance degradation with very long contexts',
+                'Variability in complex reasoning tasks',
+                'May struggle with nuanced analysis',
+                'Limited creative capabilities',
+                'Reduced performance in edge cases',
+            ],
+            recommendations: [
+                'High-volume API services',
+                'Real-time chat systems',
+                'Large-scale data processing',
+                'Streaming applications',
+                'Cost-sensitive deployments',
+                'Quick-response systems',
+                'Parallel processing workflows',
+                'Resource-constrained environments',
+            ],
+        },
+    },
+}
+
+const reverseModelMap: { [key: string]: string } = {}
+
+for (const parentModel in modelDetails) {
+    const details = modelDetails[parentModel]
+    details.matches.forEach((modelName) => {
+        reverseModelMap[modelName] = parentModel
+    })
+}
+
+export const anthropicProvider = {
+    costs,
+    modelDetails,
+    reverseModelMap,
+}
diff --git a/plugin-server/src/utils/ai-cost-data/awsBedrock/index.ts b/plugin-server/src/utils/ai-cost-data/awsBedrock/index.ts
new file mode 100644
index 0000000000000..92ed36602dd6c
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/awsBedrock/index.ts
@@ -0,0 +1,18 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta.llama3-8b-instruct-v1%3A0',
+        },
+        cost: {
+            prompt_token: 0.00022,
+            completion_token: 0.00072,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/azure/index.ts b/plugin-server/src/utils/ai-cost-data/azure/index.ts
new file mode 100644
index 0000000000000..8f84b5491841e
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/azure/index.ts
@@ -0,0 +1,98 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-turbo-preview',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-45-turbo',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt4-turbo-preview',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-preview-1106',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-35-turbo-1106',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt35',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-35-turbo-0613',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-35-16k',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000004,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-vision',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/cohere/index.ts b/plugin-server/src/utils/ai-cost-data/cohere/index.ts
new file mode 100644
index 0000000000000..2e57172fd4727
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/cohere/index.ts
@@ -0,0 +1,19 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'cohere/command-r',
+        },
+        cost: {
+            prompt_token: 0.0000005,
+            completion_token: 0.0000015,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/fireworks/index.ts b/plugin-server/src/utils/ai-cost-data/fireworks/index.ts
new file mode 100644
index 0000000000000..cd9eba97ac539
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/fireworks/index.ts
@@ -0,0 +1,204 @@
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/mixtral-8x7b-instruct',
+        },
+        cost: {
+            prompt_token: 0.0000005,
+            completion_token: 0.0000005,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/mixtral-8x22b-instruct',
+        },
+        cost: {
+            prompt_token: 0.0000012,
+            completion_token: 0.0000012,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/yi-large',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000003,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/sd3',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/sd3-medium',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/stable-diffusion-xl-1024-v1-0',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/playground-v2-1024px-aesthetic',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/playground-v2-5-1024px-aesthetic',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/SSD-1B',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/japanese-stable-diffusion-xl',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/sd3-turbo',
+        },
+        cost: {
+            prompt_token: 0.00013,
+            completion_token: 0.00013,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/sd3-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/sd3-medium-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/stable-diffusion-xl-1024-v1-0-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/playground-v2-1024px-aesthetic-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/playground-v2-5-1024px-aesthetic-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/SSD-1B-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/japanese-stable-diffusion-xl-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/sd3-turbo-ControlNet',
+        },
+        cost: {
+            prompt_token: 0.0002,
+            completion_token: 0.0002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'accounts/fireworks/models/llama-v3p1-405b-instruct',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000003,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/google/index.ts b/plugin-server/src/utils/ai-cost-data/google/index.ts
new file mode 100644
index 0000000000000..9d151095dc5bd
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/google/index.ts
@@ -0,0 +1,80 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'includes',
+            value: 'gemini-pro',
+        },
+        cost: {
+            prompt_token: 0.000000125,
+            completion_token: 0.000000375,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gemini-1.0-pro-vision-001',
+        },
+        cost: {
+            prompt_token: 0.000000125,
+            completion_token: 0.000000375,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gemini-1.0-pro',
+        },
+        cost: {
+            prompt_token: 0.000000125,
+            completion_token: 0.000000375,
+        },
+    },
+    {
+        model: {
+            operator: 'includes',
+            value: 'gemini-1.5-flash',
+        },
+        cost: {
+            prompt_token: 0.00000035,
+            completion_token: 0.00000105,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gemini-flash-1.5-8b',
+        },
+        cost: {
+            prompt_token: 3.75e-8,
+            completion_token: 1.5e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'includes',
+            value: 'gemini-1.5-pro',
+        },
+        cost: {
+            prompt_token: 0.0000035,
+            completion_token: 0.0000105,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'claude-3-5-sonnet-v2@20241022',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000015,
+        },
+        showInPlayground: false,
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/groq/index.ts b/plugin-server/src/utils/ai-cost-data/groq/index.ts
new file mode 100644
index 0000000000000..0a608a08319d5
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/groq/index.ts
@@ -0,0 +1,89 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'llama2-70b-4096',
+        },
+        cost: {
+            prompt_token: 0.0000007,
+            completion_token: 0.0000008,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'mixtral-8x7b-32768',
+        },
+        cost: {
+            prompt_token: 0.00000024,
+            completion_token: 0.00000024,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gemma-7b-it',
+        },
+        cost: {
+            prompt_token: 0.00000007,
+            completion_token: 0.00000007,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gemma2-9b-it',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'llama3-70b-8192',
+        },
+        cost: {
+            prompt_token: 0.00000059,
+            completion_token: 0.00000079,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'llama3-8b-8192',
+        },
+        cost: {
+            prompt_token: 0.00000005,
+            completion_token: 0.00000008,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'llama3-groq-70b-8192-tool-use-preview',
+        },
+        cost: {
+            prompt_token: 0.00000089,
+            completion_token: 0.00000089,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'llama3-groq-8b-8192-tool-use-preview',
+        },
+        cost: {
+            prompt_token: 0.00000019,
+            completion_token: 0.00000019,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/mappings.ts b/plugin-server/src/utils/ai-cost-data/mappings.ts
new file mode 100644
index 0000000000000..ef2530d753524
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/mappings.ts
@@ -0,0 +1,234 @@
+import { ModelDetailsMap, ModelRow } from 'types'
+
+import { anthropicProvider } from './anthropic'
+import { costs as awsBedrockCosts } from './awsBedrock'
+import { costs as azureCosts } from './azure'
+import { costs as cohereCosts } from './cohere'
+import { costs as fireworksAICosts } from './fireworks'
+import { costs as googleCosts } from './google'
+import { costs as groqCosts } from './groq'
+import { costs as mistralCosts } from './mistral'
+import { openAIProvider } from './openai'
+import { costs as fineTunedOpenAICosts } from './openai/fine-tuned-models'
+import { costs as openRouterCosts } from './openrouter'
+import { costs as qstashCosts } from './qstash'
+import { costs as togetherAIChatCosts } from './togetherai/chat'
+import { costs as togetherAIChatLlamaCosts } from './togetherai/chat/llama'
+import { costs as togetherAICompletionCosts } from './togetherai/completion'
+import { costs as togetherAICompletionLlamaCosts } from './togetherai/completion'
+
+const openAiPattern = /^https:\/\/api\.openai\.com/
+const anthropicPattern = /^https:\/\/api\.anthropic\.com/
+const azurePattern = /^(https?:\/\/)?([^.]*\.)?(openai\.azure\.com|azure-api\.net)(\/.*)?$/
+const localProxyPattern = /^http:\/\/127\.0\.0\.1:\d+\/v\d+\/?$/
+const heliconeProxyPattern = /^https:\/\/oai\.hconeai\.com/
+const amdbartekPattern = /^https:\/\/.*\.amdbartek\.dev/
+const anyscalePattern = /^https:\/\/api\.endpoints\.anyscale\.com/
+const cloudflareAiGatewayPattern = /^https:\/\/gateway\.ai\.cloudflare\.com/
+const twoYFV = /^https:\/\/api\.2yfv\.com/
+const togetherPattern = /^https:\/\/api\.together\.xyz/
+const lemonFox = /^https:\/\/api\.lemonfox\.ai/
+const fireworks = /^https:\/\/api\.fireworks\.ai/
+const perplexity = /^https:\/\/api\.perplexity\.ai/
+const googleapis = /^https:\/\/(.*\.)?googleapis\.com/
+// openrouter.ai or api.openrouter.ai
+const openRouter = /^https:\/\/(api\.)?openrouter\.ai/
+//api.wisdominanutshell.academy
+const wisdomInANutshell = /^https:\/\/api\.wisdominanutshell\.academy/
+// api.groq.com
+const groq = /^https:\/\/api\.groq\.com/
+// cohere.ai
+const cohere = /^https:\/\/api\.cohere\.ai/
+// api.mistral.ai
+const mistral = /^https:\/\/api\.mistral\.ai/
+// https://api.deepinfra.com
+const deepinfra = /^https:\/\/api\.deepinfra\.com/
+//https://qstash.upstash.io/llm
+const qstash = /^https:\/\/qstash\.upstash\.io/
+//https://www.firecrawl.dev/
+const firecrawl = /^https:\/\/api\.firecrawl\.dev/
+// https://bedrock-runtime.{some-region}.amazonaws.com/{something-after}
+const awsBedrock = /^https:\/\/bedrock-runtime\.[a-z0-9-]+\.amazonaws\.com\/.*/
+
+export const providersNames = [
+    'OPENAI',
+    'ANTHROPIC',
+    'AZURE',
+    'LOCAL',
+    'HELICONE',
+    'AMDBARTEK',
+    'ANYSCALE',
+    'CLOUDFLARE',
+    '2YFV',
+    'TOGETHER',
+    'LEMONFOX',
+    'FIREWORKS',
+    'PERPLEXITY',
+    'GOOGLE',
+    'OPENROUTER',
+    'WISDOMINANUTSHELL',
+    'GROQ',
+    'COHERE',
+    'MISTRAL',
+    'DEEPINFRA',
+    'QSTASH',
+    'FIRECRAWL',
+    'AWS',
+] as const
+
+export type ProviderName = (typeof providersNames)[number]
+
+export type ModelNames = (typeof modelNames)[number]
+
+export const providers: {
+    pattern: RegExp
+    provider: ProviderName
+    costs?: ModelRow[]
+    modelDetails?: ModelDetailsMap
+}[] = [
+    {
+        pattern: openAiPattern,
+        provider: 'OPENAI',
+        costs: [...openAIProvider.costs, ...fineTunedOpenAICosts],
+        modelDetails: openAIProvider.modelDetails,
+    },
+    {
+        pattern: anthropicPattern,
+        provider: 'ANTHROPIC',
+        costs: anthropicProvider.costs,
+        modelDetails: anthropicProvider.modelDetails,
+    },
+    {
+        pattern: azurePattern,
+        provider: 'AZURE',
+        costs: [...azureCosts, ...openAIProvider.costs],
+    },
+    {
+        pattern: localProxyPattern,
+        provider: 'LOCAL',
+    },
+    {
+        pattern: heliconeProxyPattern,
+        provider: 'HELICONE',
+    },
+    {
+        pattern: amdbartekPattern,
+        provider: 'AMDBARTEK',
+    },
+    {
+        pattern: anyscalePattern,
+        provider: 'ANYSCALE',
+    },
+    {
+        pattern: cloudflareAiGatewayPattern,
+        provider: 'CLOUDFLARE',
+    },
+    {
+        pattern: twoYFV,
+        provider: '2YFV',
+    },
+    {
+        pattern: togetherPattern,
+        provider: 'TOGETHER',
+        costs: [
+            ...togetherAIChatCosts,
+            ...togetherAIChatLlamaCosts,
+            ...togetherAICompletionCosts,
+            ...togetherAICompletionLlamaCosts,
+        ],
+    },
+    {
+        pattern: lemonFox,
+        provider: 'LEMONFOX',
+    },
+    {
+        pattern: fireworks,
+        provider: 'FIREWORKS',
+        costs: fireworksAICosts,
+    },
+    {
+        pattern: perplexity,
+        provider: 'PERPLEXITY',
+    },
+    {
+        pattern: googleapis,
+        provider: 'GOOGLE',
+        costs: googleCosts,
+    },
+    {
+        pattern: openRouter,
+        provider: 'OPENROUTER',
+        costs: openRouterCosts,
+    },
+    {
+        pattern: wisdomInANutshell,
+        provider: 'WISDOMINANUTSHELL',
+    },
+    {
+        pattern: groq,
+        provider: 'GROQ',
+        costs: groqCosts,
+    },
+    {
+        pattern: cohere,
+        provider: 'COHERE',
+        costs: cohereCosts,
+    },
+    {
+        pattern: mistral,
+        provider: 'MISTRAL',
+        costs: mistralCosts,
+    },
+    {
+        pattern: deepinfra,
+        provider: 'DEEPINFRA',
+    },
+    {
+        pattern: qstash,
+        provider: 'QSTASH',
+        costs: qstashCosts,
+    },
+    {
+        pattern: firecrawl,
+        provider: 'FIRECRAWL',
+    },
+    {
+        pattern: awsBedrock,
+        provider: 'AWS',
+        costs: awsBedrockCosts,
+    },
+]
+
+export const playgroundModels: {
+    name: string
+    provider: ProviderName
+}[] =
+    (providers
+        .map((provider) => {
+            return provider.costs
+                ?.filter((cost) => cost.showInPlayground)
+                .map((cost) => ({
+                    name: cost.model.value,
+                    provider: provider.provider,
+                }))
+        })
+        .flat()
+        .filter((model) => model !== undefined) as {
+        name: string
+        provider: ProviderName
+    }[]) ?? []
+
+export const defaultProvider = providers.find((provider) => provider.provider === 'OPENAI')!
+
+export const allCosts = providers.flatMap((provider) => provider.costs ?? [])
+
+export const approvedDomains = providers.map((provider) => provider.pattern)
+
+export const modelNames = allCosts.map((cost) => cost.model.value)
+
+export const parentModelNames = providers.reduce((acc, provider) => {
+    if (provider.modelDetails) {
+        acc[provider.provider] = Object.keys(provider.modelDetails)
+    }
+    return acc
+}, {} as Record<ProviderName, string[]>)
diff --git a/plugin-server/src/utils/ai-cost-data/mistral/index.ts b/plugin-server/src/utils/ai-cost-data/mistral/index.ts
new file mode 100644
index 0000000000000..6ca8611f0d7f6
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/mistral/index.ts
@@ -0,0 +1,69 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'open-mistral-7b',
+        },
+        cost: {
+            prompt_token: 0.00000025,
+            completion_token: 0.00000025,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'open-mixtral-8x7b',
+        },
+        cost: {
+            prompt_token: 0.0000007,
+            completion_token: 0.0000007,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistral-small-latest',
+        },
+        cost: {
+            prompt_token: 0.000002,
+            completion_token: 0.000006,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistral-medium-latest',
+        },
+        cost: {
+            prompt_token: 0.0000027,
+            completion_token: 0.0000081,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistral-large-latest',
+        },
+        cost: {
+            prompt_token: 0.000008,
+            completion_token: 0.000024,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistral-embed',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/openai/fine-tuned-models.ts b/plugin-server/src/utils/ai-cost-data/openai/fine-tuned-models.ts
new file mode 100644
index 0000000000000..3345492b7f3cd
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/openai/fine-tuned-models.ts
@@ -0,0 +1,39 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'startsWith',
+            value: 'ft:gpt-3.5-turbo-',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000006,
+        },
+    },
+    {
+        model: {
+            operator: 'startsWith',
+            value: 'ft:gpt-4o-mini-2024-07-18:',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000012,
+        },
+    },
+    {
+        model: {
+            operator: 'startsWith',
+            value: 'ft:gpt-4o-2024-08-06:',
+        },
+        cost: {
+            prompt_token: 0.00000375,
+            completion_token: 0.000015,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/openai/index.ts b/plugin-server/src/utils/ai-cost-data/openai/index.ts
new file mode 100644
index 0000000000000..2c1dc8236f07f
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/openai/index.ts
@@ -0,0 +1,817 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelDetailsMap, ModelRow } from '../../../types'
+
+const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'ada',
+        },
+        cost: {
+            prompt_token: 0.0000004,
+            completion_token: 0.0000004,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-ada-001',
+        },
+        cost: {
+            prompt_token: 0.0000004,
+            completion_token: 0.0000004,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'babbage',
+        },
+        cost: {
+            prompt_token: 0.0000005,
+            completion_token: 0.0000005,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'curie',
+        },
+        cost: {
+            prompt_token: 0.000002,
+            completion_token: 0.000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-curie-001',
+        },
+        cost: {
+            prompt_token: 0.000002,
+            completion_token: 0.000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'davinci',
+        },
+        cost: {
+            prompt_token: 0.00002,
+            completion_token: 0.00002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-davinci-001',
+        },
+        cost: {
+            prompt_token: 0.00002,
+            completion_token: 0.00002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-davinci-002',
+        },
+        cost: {
+            prompt_token: 0.00002,
+            completion_token: 0.00002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-davinci-003',
+        },
+        cost: {
+            prompt_token: 0.00002,
+            completion_token: 0.00002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo-0301',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-35-turbo',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo-1106',
+        },
+        cost: {
+            prompt_token: 0.000001,
+            completion_token: 0.000002,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo-instruct',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo-instruct-0914',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4',
+        },
+        cost: {
+            prompt_token: 0.00003,
+            completion_token: 0.00006,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-0314',
+        },
+        cost: {
+            prompt_token: 0.00003,
+            completion_token: 0.00006,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-0613',
+        },
+        cost: {
+            prompt_token: 0.00003,
+            completion_token: 0.00006,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-32k',
+        },
+        cost: {
+            prompt_token: 0.00006,
+            completion_token: 0.00012,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-32k-0314',
+        },
+        cost: {
+            prompt_token: 0.00006,
+            completion_token: 0.00012,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-32k-0613',
+        },
+        cost: {
+            prompt_token: 0.00006,
+            completion_token: 0.00012,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-0125-preview',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-1106-preview',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-1106-vision-preview',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4o',
+        },
+        cost: {
+            prompt_token: 0.000005,
+            completion_token: 0.000015,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4o-2024-05-13',
+        },
+        cost: {
+            prompt_token: 0.000005,
+            completion_token: 0.000015,
+        },
+        showInPlayground: true,
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4o-mini',
+        },
+        cost: {
+            prompt_token: 0.00000015,
+            completion_token: 0.0000006,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4o-mini-2024-07-18',
+        },
+        cost: {
+            prompt_token: 0.00000015,
+            completion_token: 0.0000006,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo-0613',
+        },
+        cost: {
+            prompt_token: 0.0000015,
+            completion_token: 0.000002,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-35-turbo-16k',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000004,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo-16k-0613',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000004,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-3.5-turbo-0125',
+        },
+        cost: {
+            prompt_token: 0.0000005,
+            completion_token: 0.0000015,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-turbo',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-turbo-2024-04-09',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-turbo-0125-preview',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-embedding-ada-002',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-embedding-ada',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-embedding-ada-002-v2',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-embedding-3-small',
+        },
+        cost: {
+            prompt_token: 0.00000002,
+            completion_token: 0.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'text-embedding-3-large',
+        },
+        cost: {
+            prompt_token: 0.00000013,
+            completion_token: 0.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4-vision-preview',
+        },
+        cost: {
+            prompt_token: 0.00001,
+            completion_token: 0.00003,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-35-turbo-16k-0613',
+        },
+        showInPlayground: true,
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000004,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gpt-4o-2024-08-06',
+        },
+        showInPlayground: true,
+        cost: {
+            prompt_token: 0.0000025,
+            completion_token: 0.00001,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'o1-preview',
+        },
+        cost: {
+            prompt_token: 0.000015,
+            completion_token: 0.00006,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'o1-preview-2024-09-12',
+        },
+        cost: {
+            prompt_token: 0.000015,
+            completion_token: 0.00006,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'o1-mini',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000012,
+        },
+        showInPlayground: true,
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'o1-mini-2024-09-12',
+        },
+        cost: {
+            prompt_token: 0.000003,
+            completion_token: 0.000012,
+        },
+        showInPlayground: true,
+    },
+]
+
+const modelDetails: ModelDetailsMap = {
+    'gpt-4': {
+        matches: [
+            'gpt-4',
+            'gpt-4-0314',
+            'gpt-4-0613',
+            'gpt-4-32k',
+            'gpt-4-32k-0314',
+            'gpt-4-0125-preview',
+            'gpt-4-1106-preview',
+        ],
+        searchTerms: ['gpt 4', 'gpt-4', 'chat gpt 4', '4', 'chat 4'],
+        info: {
+            maxTokens: 8192,
+            releaseDate: '2024-03-13',
+            description:
+                'GPT-4 is the latest and most advanced model in the GPT series, demonstrating sophisticated capabilities in complex reasoning, theory of mind, and narrative understanding.',
+            tradeOffs: [
+                'More expensive than GPT-3.5 Turbo',
+                'Performance can vary even with temperature=0',
+                'May struggle with world-building in absurd scenarios',
+            ],
+            benchmarks: {
+                mmlu: 0.864,
+                ifeval: 0.67,
+                hellaswag: 0.953,
+                bbh: 0.831,
+            },
+            capabilities: [
+                'Advanced reasoning',
+                'Theory of mind',
+                'Complex narrative understanding',
+                'Chain-of-thought processing',
+            ],
+            strengths: [
+                'Strong performance in theory of mind tasks',
+                'Ability to track and reason about multiple entities',
+                'Can explain its reasoning process',
+            ],
+            weaknesses: [
+                'May struggle with highly abstract or unrealistic scenarios',
+                'Output can be non-deterministic even at temperature=0',
+                "Performance depends on how 'normal' the scenario is",
+            ],
+            recommendations: [
+                'Complex reasoning and analysis tasks',
+                'Professional content creation and editing',
+                'Advanced coding and technical problem-solving',
+                'Multi-step planning and strategy development',
+                'Academic research and paper writing',
+                'Detailed technical documentation',
+            ],
+        },
+    },
+    'gpt-4o': {
+        matches: ['gpt-4o', 'gpt-4o-2024-05-13'],
+        searchTerms: ['gpt 4o', 'gpt-4o', 'chat gpt 4o', '4o', 'chat 4o'],
+        info: {
+            maxTokens: 128000,
+            releaseDate: '2024-05-13',
+            description:
+                'GPT-4 Optimized (GPT-4o) is designed for high performance in reasoning, creativity, and technical tasks while maintaining consistent output quality.',
+            tradeOffs: [
+                'Higher resource requirements for optimal performance',
+                'Increased cost per token for premium capabilities',
+                'May require more specific prompting for best results',
+                'Larger context window increases memory usage',
+                'Response time varies with complexity of task',
+            ],
+            benchmarks: {
+                mmlu: 0.887,
+                ifeval: 0.902,
+                hellaswag: 0.942,
+                bbh: 0.913,
+            },
+            capabilities: [
+                'Advanced reasoning and problem-solving',
+                'Strong coding abilities',
+                'Mathematical computation',
+                'Creative content generation',
+                'Technical analysis',
+            ],
+            strengths: [
+                'Consistent output quality',
+                'Strong technical performance',
+                'Reliable response generation',
+                'Broad knowledge base',
+            ],
+            weaknesses: [
+                'May produce overconfident responses',
+                'Requires clear prompt engineering',
+                'Performance varies with task complexity',
+            ],
+            recommendations: [
+                'Technical and analytical projects',
+                'Software development tasks',
+                'Mathematical problem-solving',
+                'Content creation and analysis',
+            ],
+        },
+    },
+    'gpt-4o-mini': {
+        matches: ['gpt-4o-mini', 'gpt-4o-mini-2024-07-18'],
+        searchTerms: ['gpt 4o mini', 'gpt-4o-mini', 'chat gpt 4o mini', 'chat 4o mini'],
+        info: {
+            maxTokens: 128000,
+            releaseDate: '2024-07-18',
+            description:
+                'GPT-4o Mini is a cost-optimized variant of GPT-4o, designed for high-efficiency processing while maintaining strong performance. It excels in rapid inference and resource-efficient operations, making it ideal for production deployments requiring a balance of cost and capability.',
+            tradeOffs: [
+                'Lower cost per token compared to GPT-4o',
+                'Reduced latency for faster processing',
+                'Smaller model size for efficient deployment',
+                'Optimized for common tasks and queries',
+                'Balance of performance and resource usage',
+            ],
+            benchmarks: {
+                mmlu: 0.82,
+                ifeval: 0.872,
+                hellaswag: 0.885,
+                truthfulqa: 0.793,
+                gsm8k: 0.846,
+            },
+            capabilities: [
+                'Efficient natural language processing',
+                'Quick response generation',
+                'Code understanding and generation',
+                'Task-specific optimization',
+                'Resource-efficient inference',
+                'Consistent output quality',
+                'Scalable deployment support',
+            ],
+            strengths: [
+                'Cost-effective processing',
+                'Low latency responses',
+                'Efficient resource utilization',
+                'Strong performance on common tasks',
+                'Reliable output quality',
+                'Optimized for production use',
+                'Excellent scaling characteristics',
+            ],
+            weaknesses: [
+                'Lower performance on complex reasoning',
+                'Reduced capability in specialized domains',
+                'Limited context understanding vs larger models',
+                'May struggle with nuanced tasks',
+                'Less suitable for cutting-edge research',
+            ],
+            recommendations: [
+                'High-volume production deployments',
+                'Cost-sensitive applications',
+                'Real-time processing needs',
+                'Standard NLP tasks',
+                'Efficient API integrations',
+                'Resource-constrained environments',
+                'Scalable system architectures',
+            ],
+        },
+    },
+    'gpt-4-turbo': {
+        matches: ['gpt-4-turbo', 'gpt-4-turbo-2024-04-09', 'gpt-4-turbo-0125-preview'],
+        searchTerms: ['gpt 4 turbo', 'gpt-4-turbo', 'chat gpt 4 turbo', '4 turbo', 'chat 4 turbo'],
+        info: {
+            maxTokens: 128000,
+            releaseDate: '2024-04-09',
+            description: 'GPT-4 Turbo is a more recent model that offers a balance between cost and performance.',
+            tradeOffs: ['More expensive than GPT-3.5 Turbo'],
+            benchmarks: {
+                bbh: 0.876,
+                hellaswag: 0.942,
+                mmlu: 0.865,
+            },
+            capabilities: [],
+            strengths: [],
+            weaknesses: [],
+            recommendations: [],
+        },
+    },
+    'gpt-3.5-turbo': {
+        matches: [
+            'gpt-3.5-turbo',
+            'gpt-3.5-turbo-0301',
+            'gpt-35-turbo',
+            'gpt-3.5-turbo-1106',
+            'gpt-3.5-turbo-instruct',
+            'gpt-3.5-turbo-instruct-0914',
+            'gpt-3.5-turbo-0613',
+            'gpt-3.5-turbo-16k',
+            'gpt-3.5-turbo-16k-0613',
+            'gpt-35-turbo-16k',
+            'gpt-35-turbo-16k-0613',
+            'gpt-3.5-turbo-0125',
+        ],
+        searchTerms: ['gpt 3.5', 'gpt-3.5', 'chat gpt 3.5', 'chat 3.5'],
+        info: {
+            maxTokens: 16385,
+            releaseDate: '2023-11-06',
+            description: 'GPT-3.5 Turbo is a more recent model that offers a balance between cost and performance.',
+            tradeOffs: ['More expensive than GPT-3.5 Turbo'],
+            benchmarks: {
+                hellaswag: 0.855,
+                mmlu: 0.698,
+            },
+            capabilities: [],
+            strengths: [],
+            weaknesses: [],
+            recommendations: [],
+        },
+    },
+    'text-embedding-3': {
+        matches: ['text-embedding-3-small', 'text-embedding-3-large'],
+        searchTerms: ['text embedding 3', 'text-embedding-3'],
+        info: {
+            maxTokens: 3072,
+            releaseDate: '2022-12-15',
+            description: 'Text Embedding 3 is a model that offers a balance between cost and performance.',
+            tradeOffs: ['More expensive than GPT-3.5 Turbo'],
+            benchmarks: {},
+            capabilities: [],
+            strengths: [],
+            weaknesses: [],
+            recommendations: [],
+        },
+    },
+    'text-embedding-ada': {
+        matches: ['text-embedding-ada-002', 'text-embedding-ada', 'text-embedding-ada-002-v2'],
+        searchTerms: ['text embedding ada', 'text-embedding-ada'],
+        info: {
+            maxTokens: 1536,
+            releaseDate: '2022-12-15',
+            description: 'Text Embedding Ada is a model that offers a balance between cost and performance.',
+            tradeOffs: ['More expensive than GPT-3.5 Turbo'],
+            benchmarks: {},
+            capabilities: [],
+            strengths: [],
+            weaknesses: [],
+            recommendations: [],
+        },
+    },
+    'o1-preview': {
+        matches: ['o1-preview', 'o1-preview-2024-09-12'],
+        searchTerms: ['o1 preview', 'o1-preview', 'chat gpt o1', 'chat gpt o1 preview', 'chat o1', 'chat o1 preview'],
+        info: {
+            maxTokens: 128000,
+            releaseDate: '2024-09-12',
+            description: 'O1 Preview is a model that offers a balance between cost and performance.',
+            tradeOffs: ['More expensive than GPT-3.5 Turbo'],
+            benchmarks: {
+                mmlu: 0.908,
+            },
+            capabilities: [],
+            strengths: [],
+            weaknesses: [],
+            recommendations: [],
+        },
+    },
+    'o1-mini': {
+        matches: ['o1-mini', 'o1-mini-2024-09-12'],
+        searchTerms: ['o1 mini', 'o1-mini', 'chat gpt o1 mini', 'chat o1 mini'],
+        info: {
+            maxTokens: 128000,
+            releaseDate: '2024-09-12',
+            description: 'O1 Mini is a model that offers a balance between cost and performance.',
+            tradeOffs: ['More expensive than GPT-3.5 Turbo'],
+            benchmarks: {},
+            capabilities: [],
+            strengths: [],
+            weaknesses: [],
+            recommendations: [],
+        },
+    },
+    'gpt-4-vision-preview': {
+        matches: ['gpt-4-vision-preview', 'gpt-4-1106-vision-preview'],
+        searchTerms: ['gpt 4 vision', 'gpt-4-vision', 'gpt 4 vision preview', 'chat gpt 4 vision', 'chat 4 vision'],
+        info: {
+            maxTokens: 128000,
+            releaseDate: '2023-11-06',
+            description: 'GPT-4 Vision is a model that offers a balance between cost and performance.',
+            tradeOffs: ['More expensive than GPT-3.5 Turbo'],
+            benchmarks: {
+                bbh: 0.876,
+                hellaswag: 0.942,
+                mmlu: 0.865,
+            },
+            capabilities: ['Vision'],
+            strengths: ['Can process images'],
+            weaknesses: ['More expensive than GPT-3.5 Turbo'],
+            recommendations: ['Use for tasks that require image processing'],
+        },
+    },
+}
+
+const reverseModelMap: { [key: string]: string } = {}
+
+for (const parentModel in modelDetails) {
+    const details = modelDetails[parentModel]
+    details.matches.forEach((modelName) => {
+        reverseModelMap[modelName] = parentModel
+    })
+}
+
+export const openAIProvider = {
+    costs,
+    modelDetails,
+    reverseModelMap,
+}
diff --git a/plugin-server/src/utils/ai-cost-data/openrouter/index.ts b/plugin-server/src/utils/ai-cost-data/openrouter/index.ts
new file mode 100644
index 0000000000000..aa15db0758ac8
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/openrouter/index.ts
@@ -0,0 +1,2159 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'sao10k/l3.3-euryale-70b',
+        },
+        cost: {
+            prompt_token: 1.5e-6,
+            completion_token: 1.5e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'inflatebot/mn-mag-mell-r1',
+        },
+        cost: {
+            prompt_token: 9e-7,
+            completion_token: 9e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/o1',
+        },
+        cost: {
+            prompt_token: 1.5e-5,
+            completion_token: 6e-5,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'eva-unit-01/eva-llama-3.33-70b',
+        },
+        cost: {
+            prompt_token: 4e-6,
+            completion_token: 6e-6,
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+            value: 'undi95/toppy-m-7b:nitro',
+        },
+        cost: {
+            prompt_token: 7e-8,
+            completion_token: 7e-8,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'undi95/toppy-m-7b',
+        },
+        cost: {
+            prompt_token: 7e-8,
+            completion_token: 7e-8,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'alpindale/goliath-120b',
+        },
+        cost: {
+            prompt_token: 9.375e-6,
+            completion_token: 9.375e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openrouter/auto',
+        },
+        cost: {
+            prompt_token: -1.0,
+            completion_token: -1.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-3.5-turbo-1106',
+        },
+        cost: {
+            prompt_token: 1e-6,
+            completion_token: 2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-4-1106-preview',
+        },
+        cost: {
+            prompt_token: 1e-5,
+            completion_token: 3e-5,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/palm-2-chat-bison-32k',
+        },
+        cost: {
+            prompt_token: 1e-6,
+            completion_token: 2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/palm-2-codechat-bison-32k',
+        },
+        cost: {
+            prompt_token: 1e-6,
+            completion_token: 2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'jondurbin/airoboros-l2-70b',
+        },
+        cost: {
+            prompt_token: 5e-7,
+            completion_token: 5e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'xwin-lm/xwin-lm-70b',
+        },
+        cost: {
+            prompt_token: 3.75e-6,
+            completion_token: 3.75e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-3.5-turbo-instruct',
+        },
+        cost: {
+            prompt_token: 1.5e-6,
+            completion_token: 2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistralai/mistral-7b-instruct-v0.1',
+        },
+        cost: {
+            prompt_token: 1.8e-7,
+            completion_token: 1.8e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'pygmalionai/mythalion-13b',
+        },
+        cost: {
+            prompt_token: 8e-7,
+            completion_token: 1.2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-3.5-turbo-16k',
+        },
+        cost: {
+            prompt_token: 3e-6,
+            completion_token: 4e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-4-32k',
+        },
+        cost: {
+            prompt_token: 6e-5,
+            completion_token: 0.00012,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-4-32k-0314',
+        },
+        cost: {
+            prompt_token: 6e-5,
+            completion_token: 0.00012,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'nousresearch/nous-hermes-llama2-13b',
+        },
+        cost: {
+            prompt_token: 1.7e-7,
+            completion_token: 1.7e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'mancer/weaver',
+        },
+        cost: {
+            prompt_token: 1.5e-6,
+            completion_token: 2.25e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'huggingfaceh4/zephyr-7b-beta:free',
+        },
+        cost: {
+            prompt_token: 0.0,
+            completion_token: 0.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'anthropic/claude-2.0:beta',
+        },
+        cost: {
+            prompt_token: 8e-6,
+            completion_token: 2.4e-5,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'anthropic/claude-2.0',
+        },
+        cost: {
+            prompt_token: 8e-6,
+            completion_token: 2.4e-5,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'undi95/remm-slerp-l2-13b',
+        },
+        cost: {
+            prompt_token: 8e-7,
+            completion_token: 1.2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'undi95/remm-slerp-l2-13b:extended',
+        },
+        cost: {
+            prompt_token: 1.125e-6,
+            completion_token: 1.125e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/palm-2-chat-bison',
+        },
+        cost: {
+            prompt_token: 1e-6,
+            completion_token: 2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/palm-2-codechat-bison',
+        },
+        cost: {
+            prompt_token: 1e-6,
+            completion_token: 2e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gryphe/mythomax-l2-13b:free',
+        },
+        cost: {
+            prompt_token: 0.0,
+            completion_token: 0.0,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gryphe/mythomax-l2-13b',
+        },
+        cost: {
+            prompt_token: 7e-8,
+            completion_token: 7e-8,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gryphe/mythomax-l2-13b:nitro',
+        },
+        cost: {
+            prompt_token: 2e-7,
+            completion_token: 2e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'gryphe/mythomax-l2-13b:extended',
+        },
+        cost: {
+            prompt_token: 1.125e-6,
+            completion_token: 1.125e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/llama-2-13b-chat',
+        },
+        cost: {
+            prompt_token: 1.98e-7,
+            completion_token: 1.98e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-3.5-turbo',
+        },
+        cost: {
+            prompt_token: 5e-7,
+            completion_token: 1.5e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-3.5-turbo-0125',
+        },
+        cost: {
+            prompt_token: 5e-7,
+            completion_token: 1.5e-6,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-4',
+        },
+        cost: {
+            prompt_token: 3e-5,
+            completion_token: 6e-5,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'openai/gpt-4-0314',
+        },
+        cost: {
+            prompt_token: 3e-5,
+            completion_token: 6e-5,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/qstash/index.ts b/plugin-server/src/utils/ai-cost-data/qstash/index.ts
new file mode 100644
index 0000000000000..8d78767c20e49
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/qstash/index.ts
@@ -0,0 +1,29 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'includes',
+            value: 'llama',
+        },
+        cost: {
+            prompt_token: 3e-7,
+            completion_token: 3e-7,
+        },
+    },
+    {
+        model: {
+            operator: 'includes',
+            value: 'mistral',
+        },
+        cost: {
+            prompt_token: 3e-7,
+            completion_token: 3e-7,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/togetherai/chat/index.ts b/plugin-server/src/utils/ai-cost-data/togetherai/chat/index.ts
new file mode 100644
index 0000000000000..1da29272e33d8
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/togetherai/chat/index.ts
@@ -0,0 +1,503 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'allenai/OLMo-7B-Instruct',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'allenai/OLMo-7B-Twin-2T',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'allenai/OLMo-7B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Austism/chronos-hermes-13b',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'deepseek-ai/deepseek-coder-33b-instruct',
+        },
+        cost: {
+            prompt_token: 0.0000008,
+            completion_token: 0.0000008,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'garage-bAInd/Platypus2-70B-instruct',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/gemma-2b-it',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/gemma-7b-it',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Gryphe/MythoMax-L2-13b',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'lmsys/vicuna-13b-v1.5',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'lmsys/vicuna-7b-v1.5',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistralai/Mistral-7B-Instruct-v0.1',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistralai/Mistral-7B-Instruct-v0.2',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistralai/Mixtral-8x7B-Instruct-v0.1',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'NousResearch/Nous-Capybara-7B-V1p9',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'NousResearch/Nous-Hermes-2-Yi-34B',
+        },
+        cost: {
+            prompt_token: 0.0000008,
+            completion_token: 0.0000008,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'openchat/openchat-3.5-1210',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Open-Orca/Mistral-7B-OpenOrca',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-0.5B-Chat',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-1.8B-Chat',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-4B-Chat',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-7B-Chat',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-14B-Chat',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'snorkelai/Snorkel-Mistral-PairRM-DPO',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/alpaca-7b',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'teknium/OpenHermes-2-Mistral-7B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'teknium/OpenHermes-2p5-Mistral-7B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/RedPajama-INCITE-Chat-3B-v1',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/RedPajama-INCITE-7B-Chat',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/StripedHyena-Nous-7B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Undi95/ReMM-SLERP-L2-13B',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Undi95/Toppy-M-7B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'WizardLM/WizardLM-13B-V1.2',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'upstage/SOLAR-10.7B-Instruct-v1.0',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000018,
+            completion_token: 0.00000018,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000088,
+            completion_token: 0.00000088,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.0000035,
+            completion_token: 0.0000035,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-8B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000018,
+            completion_token: 0.00000018,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-70B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000088,
+            completion_token: 0.00000088,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-8B-Instruct-Lite',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-70B-Instruct-Lite',
+        },
+        cost: {
+            prompt_token: 0.00000054,
+            completion_token: 0.00000054,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'microsoft/WizardLM-2-8x22B',
+        },
+        cost: {
+            prompt_token: 0.0000012,
+            completion_token: 0.0000012,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistralai/Mixtral-8x22B-Instruct-v0.1',
+        },
+        cost: {
+            prompt_token: 0.0000024,
+            completion_token: 0.0000024,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/togetherai/chat/llama.ts b/plugin-server/src/utils/ai-cost-data/togetherai/chat/llama.ts
new file mode 100644
index 0000000000000..ea27590629c41
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/togetherai/chat/llama.ts
@@ -0,0 +1,210 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'codellama/CodeLlama-13b-Instruct-hf',
+        },
+        cost: {
+            prompt_token: 0.000000225,
+            completion_token: 0.000000225,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'codellama/CodeLlama-34b-Instruct-hf',
+        },
+        cost: {
+            prompt_token: 0.000000776,
+            completion_token: 0.000000776,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'codellama/CodeLlama-70b-Instruct-hf',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'codellama/CodeLlama-7b-Instruct-hf',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-2-70b-chat-hf',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-2-13b-chat-hf',
+        },
+        cost: {
+            prompt_token: 0.000000225,
+            completion_token: 0.000000225,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-2-7b-chat-hf',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-3-70b-chat-hf',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-3-8b-chat-hf',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'NousResearch/Nous-Hermes-llama-2-7b',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'NousResearch/Nous-Hermes-Llama2-13b',
+        },
+        cost: {
+            prompt_token: 0.000000225,
+            completion_token: 0.000000225,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/Llama-2-7B-32K-Instruct',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000088,
+            completion_token: 0.00000088,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000018,
+            completion_token: 0.00000018,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.000005,
+            completion_token: 0.000005,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-70B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000088,
+            completion_token: 0.00000088,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-8B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000018,
+            completion_token: 0.00000018,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-70B-Instruct-Lite',
+        },
+        cost: {
+            prompt_token: 0.00000054,
+            completion_token: 0.00000054,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-8B-Instruct-Lite',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/togetherai/completion/index.ts b/plugin-server/src/utils/ai-cost-data/togetherai/completion/index.ts
new file mode 100644
index 0000000000000..8ca03a8fa40c6
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/togetherai/completion/index.ts
@@ -0,0 +1,228 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'zero-one-ai/Yi-34B',
+        },
+        cost: {
+            prompt_token: 0.0000008,
+            completion_token: 0.0000008,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'zero-one-ai/Yi-6B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/gemma-2b',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'google/gemma-7b',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'microsoft/phi-2',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Nexusflow/NexusRaven-V2-13B',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-0.5B',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-1.8B',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-4B',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-7B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-14B',
+        },
+        cost: {
+            prompt_token: 0.0000003,
+            completion_token: 0.0000003,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'Qwen/Qwen1.5-72B',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/GPT-JT-Moderation-6B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/RedPajama-INCITE-Base-3B-v1',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/RedPajama-INCITE-7B-Base',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/RedPajama-INCITE-Instruct-3B-v1',
+        },
+        cost: {
+            prompt_token: 0.0000001,
+            completion_token: 0.0000001,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/RedPajama-INCITE-7B-Instruct',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/StripedHyena-Hessian-7B',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistralai/Mistral-7B-v0.1',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'mistralai/Mixtral-8x7B-v0.1',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+]
diff --git a/plugin-server/src/utils/ai-cost-data/togetherai/completion/llama.ts b/plugin-server/src/utils/ai-cost-data/togetherai/completion/llama.ts
new file mode 100644
index 0000000000000..1df44bd2de865
--- /dev/null
+++ b/plugin-server/src/utils/ai-cost-data/togetherai/completion/llama.ts
@@ -0,0 +1,134 @@
+/**
+ *
+ * DO NOT EDIT THIS FILE UNLESS IT IS IN /costs
+ */
+
+import { ModelRow } from '../../../../types'
+
+export const costs: ModelRow[] = [
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-2-70b-hf',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-2-13b-hf',
+        },
+        cost: {
+            prompt_token: 0.000000225,
+            completion_token: 0.000000225,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-2-7b-hf',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3-70B',
+        },
+        cost: {
+            prompt_token: 0.0000009,
+            completion_token: 0.0000009,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Llama-3-8b-hf',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+
+    {
+        model: {
+            operator: 'equals',
+            value: 'togethercomputer/LLaMA-2-7B-32K',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.0000002,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000088,
+            completion_token: 0.00000088,
+        },
+    },
+    {
+        model: {
+            operator: 'equals',
+            value: 'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.000005,
+            completion_token: 0.000005,
+        },
+    },
+    {
+        model: {
+            operator: 'includes',
+            value: 'togethercomputer/Meta-Llama-3.1-8B-Instruct-Reference',
+        },
+        cost: {
+            prompt_token: 0.0000002,
+            completion_token: 0.00000018,
+        },
+    },
+    {
+        model: {
+            operator: 'includes',
+            value: 'togethercomputer/Meta-Llama-3.1-70B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.00000088,
+            completion_token: 0.00000088,
+        },
+    },
+    {
+        model: {
+            operator: 'includes',
+            value: 'togethercomputer/Meta-Llama-3.1-405B-Instruct-Turbo',
+        },
+        cost: {
+            prompt_token: 0.000005,
+            completion_token: 0.000005,
+        },
+    },
+]
diff --git a/plugin-server/src/worker/vm/inline/ai-costs.ts b/plugin-server/src/worker/vm/inline/ai-costs.ts
new file mode 100644
index 0000000000000..10f00a3f975dc
--- /dev/null
+++ b/plugin-server/src/worker/vm/inline/ai-costs.ts
@@ -0,0 +1,130 @@
+import { PluginEvent } from '@posthog/plugin-scaffold'
+import bigDecimal from 'js-big-decimal'
+
+import { Hub, ModelRow, PluginConfig, PluginLogEntrySource, PluginLogEntryType, PluginMethods } from '../../../types'
+import { providers } from '../../../utils/ai-cost-data/mappings'
+import { PluginInstance } from '../lazy'
+
+export type AiCostPluginConfiguration = {
+    debugMode?: string
+}
+
+export class AiCostPlugin implements PluginInstance {
+    initialize = async () => {}
+    failInitialization = async () => {}
+    clearRetryTimeoutIfExists = async () => {}
+    getTeardown = () => {
+        return Promise.resolve(null)
+    }
+    getTask = () => {
+        return Promise.resolve(null)
+    }
+    getScheduledTasks = () => {
+        return Promise.resolve({})
+    }
+    setupPluginIfNeeded = () => {
+        return Promise.resolve(true)
+    }
+    usedImports: Set<string> | undefined
+    methods: PluginMethods
+
+    hub: Hub
+    config: PluginConfig
+
+    debugMode: boolean
+
+    constructor(hub: Hub, pluginConfig: PluginConfig) {
+        this.hub = hub
+        this.config = pluginConfig
+        this.usedImports = new Set()
+
+        const config = pluginConfig.config as AiCostPluginConfiguration
+
+        this.debugMode = config.debugMode === 'true'
+
+        this.methods = {
+            processEvent: (event: PluginEvent) => {
+                return this.processEvent(event)
+            },
+        }
+    }
+
+    public getPluginMethod<T extends keyof PluginMethods>(method_name: T): Promise<PluginMethods[T] | null> {
+        return Promise.resolve(this.methods[method_name] as PluginMethods[T])
+    }
+
+    public async processEvent(event: PluginEvent): Promise<PluginEvent> {
+        if ((event.event !== '$ai_generation' && event.event !== '$ai_embedding') || !event.properties) {
+            return event
+        }
+
+        await this.createLogEntry(`AiCostPlugin.processEvent(): Ai Generation Event Received`, PluginLogEntryType.Warn)
+
+        if (!event.properties['$ai_provider'] || !event.properties['$ai_model']) {
+            return event
+        }
+
+        const provider = providers.find(
+            (provider) => event?.properties?.$ai_provider === provider.provider.toLowerCase()
+        )
+        if (!provider || !provider.costs) {
+            return event
+        }
+
+        const cost = this.findCostFromModel(provider.costs, event.properties['$ai_model'])
+        if (!cost) {
+            return event
+        }
+
+        event.properties['$ai_input_cost_usd'] = parseFloat(
+            bigDecimal.multiply(cost.cost.prompt_token, event.properties['$ai_input_tokens'] || 0)
+        )
+        event.properties['$ai_output_cost_usd'] = parseFloat(
+            bigDecimal.multiply(cost.cost.completion_token, event.properties['$ai_output_tokens'] || 0)
+        )
+
+        event.properties['$ai_total_cost_usd'] = parseFloat(
+            bigDecimal.add(event.properties['$ai_input_cost_usd'], event.properties['$ai_output_cost_usd'])
+        )
+
+        return event
+    }
+
+    private findCostFromModel(costs: ModelRow[], aiModel: string): ModelRow | undefined {
+        return costs.find((cost) => {
+            const valueLower = cost.model.value.toLowerCase()
+            if (cost.model.operator === 'startsWith') {
+                return aiModel.startsWith(valueLower)
+            } else if (cost.model.operator === 'includes') {
+                return aiModel.includes(valueLower)
+            }
+            return valueLower === aiModel
+        })
+    }
+
+    public async createLogEntry(message: string, logType = PluginLogEntryType.Info): Promise<void> {
+        await this.hub.db.queuePluginLogEntry({
+            message,
+            pluginConfig: this.config,
+            source: PluginLogEntrySource.System,
+            type: logType,
+            instanceId: this.hub.instanceId,
+        })
+    }
+}
+
+// Define the configuration schema for the AI Cost plugin
+export const AI_COST_CONFIG_SCHEMA = [
+    {
+        markdown: 'AI Cost plugin calculates the cost of AI generations based on the provider and model used.',
+    },
+    {
+        key: 'debugMode',
+        name: 'Enable Debug Mode',
+        type: 'choice' as const,
+        hint: 'Enable debug mode to log processing details.',
+        choices: ['false', 'true'],
+        default: 'false',
+        required: false,
+    },
+]
diff --git a/plugin-server/src/worker/vm/inline/inline.ts b/plugin-server/src/worker/vm/inline/inline.ts
index 02c9b2987b5dc..b9de90d76e32e 100644
--- a/plugin-server/src/worker/vm/inline/inline.ts
+++ b/plugin-server/src/worker/vm/inline/inline.ts
@@ -4,6 +4,7 @@ import { Hub, PluginCapabilities, PluginConfig, PluginLogLevel } from '../../../
 import { upsertInlinePlugin } from '../../../utils/db/sql'
 import { status } from '../../../utils/status'
 import { PluginInstance } from '../lazy'
+import { AI_COST_CONFIG_SCHEMA, AiCostPlugin } from './ai-costs'
 import { NoopInlinePlugin } from './noop'
 import { SEMVER_FLATTENER_CONFIG_SCHEMA, SemverFlattener } from './semver-flattener'
 import { USER_AGENT_CONFIG_SCHEMA, UserAgentPlugin } from './user-agent'
@@ -24,7 +25,12 @@ export interface RegisteredInlinePlugin {
     description: Readonly<InlinePluginDescription>
 }
 
-export const INLINE_PLUGIN_URLS = ['inline://noop', 'inline://semver-flattener', 'inline://user-agent'] as const
+export const INLINE_PLUGIN_URLS = [
+    'inline://noop',
+    'inline://semver-flattener',
+    'inline://user-agent',
+    'inline://ai-costs',
+] as const
 type InlinePluginId = (typeof INLINE_PLUGIN_URLS)[number]
 
 // TODO - add all inline plugins here
@@ -85,6 +91,26 @@ export const INLINE_PLUGIN_MAP: Record<InlinePluginId, RegisteredInlinePlugin> =
             log_level: PluginLogLevel.Info,
         },
     },
+
+    'inline://ai-costs': {
+        constructor: (hub: Hub, config: PluginConfig) => new AiCostPlugin(hub, config),
+        description: {
+            name: 'AI Cost Calculator',
+            description: 'Calculates AI generation costs based on provider and model',
+            is_global: true,
+            is_preinstalled: true,
+            url: 'inline://ai-costs',
+            config_schema: AI_COST_CONFIG_SCHEMA,
+            tag: 'ai-costs',
+            capabilities: {
+                jobs: [],
+                scheduled_tasks: [],
+                methods: ['processEvent'],
+            },
+            is_stateless: true,
+            log_level: PluginLogLevel.Info,
+        },
+    },
 }
 
 // Inline plugins are uniquely identified by their /url/, not their ID, and do