# AI Model Pricing Comparator - GPT, Claude, Gemini & More (`wetyr_corporation/ai-model-pricing-comparator`) Actor Track and compare pricing for every major LLM provider: OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together, Groq, DeepSeek. Normalized $/1M tokens. For AI engineers, finance, procurement. - **URL**: https://apify.com/wetyr\_corporation/ai-model-pricing-comparator.md - **Developed by:** [WETYR CORPORATION](https://apify.com/wetyr_corporation) (community) - **Categories:** AI, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## AI Model Pricing Comparator Track and compare pricing for every major LLM provider in one normalized output. **Providers covered:** OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together AI, Groq, DeepSeek. For each model returns: input/output cost per million tokens, context window, modality (text/vision/audio), tool support, and rank by your chosen metric (cheapest input, cheapest output, largest context, etc). Verifies each provider's official pricing URL is still live. ### Pricing - $0.10 per actor start - $0.005 per model returned Typical run (all providers, all models): **~$0.25** ### Use cases - AI engineers picking the right model for each workflow - Finance/procurement teams running cost analyses across providers - Comparison content for tech blogs and newsletters - Building model-routing layers (cheapest model that meets requirements) - Monitoring price drops to switch providers automatically ### Output ```json { "rank": 1, "provider": "groq", "model": "llama-4-8b", "inputCostPerMTok": 0.05, "outputCostPerMTok": 0.08, "contextWindow": 131072, "modality": "text", "supportsTools": true, "outputToInputRatio": 1.6, "officialPricingUrl": "https://groq.com/pricing/", "officialPageLive": true, "snapshotQuarter": "2026-Q2" } ```` # Actor input Schema ## `providers` (type: `array`): AI providers to fetch pricing for. Default: all. ## `filterContextMin` (type: `integer`): Only return models with context >= this many tokens. ## `filterMaxInputCostPerMTok` (type: `integer`): Only return models cheaper than this for input. 0 = no filter. ## `rankBy` (type: `string`): Sort output by this field. ## Actor input object example ```json { "providers": [ "openai", "anthropic", "google" ], "filterContextMin": 0, "filterMaxInputCostPerMTok": 0, "rankBy": "inputCostPerMTok" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "providers": [ "openai", "anthropic", "google" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wetyr_corporation/ai-model-pricing-comparator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "providers": [ "openai", "anthropic", "google", ] } # Run the Actor and wait for it to finish run = client.actor("wetyr_corporation/ai-model-pricing-comparator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "providers": [ "openai", "anthropic", "google" ] }' | apify call wetyr_corporation/ai-model-pricing-comparator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wetyr_corporation/ai-model-pricing-comparator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Model Pricing Comparator - GPT, Claude, Gemini & More", "description": "Track and compare pricing for every major LLM provider: OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together, Groq, DeepSeek. Normalized $/1M tokens. For AI engineers, finance, procurement.", "version": "0.1", "x-build-id": "kmdE3p9q9iBseK3Vj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wetyr_corporation~ai-model-pricing-comparator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wetyr_corporation-ai-model-pricing-comparator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wetyr_corporation~ai-model-pricing-comparator/runs": { "post": { "operationId": "runs-sync-wetyr_corporation-ai-model-pricing-comparator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wetyr_corporation~ai-model-pricing-comparator/run-sync": { "post": { "operationId": "run-sync-wetyr_corporation-ai-model-pricing-comparator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "providers": { "title": "Providers to Include", "type": "array", "description": "AI providers to fetch pricing for. Default: all.", "default": [ "openai", "anthropic", "google", "mistral", "cohere", "together", "groq", "deepseek" ], "items": { "type": "string" } }, "filterContextMin": { "title": "Minimum Context Window", "minimum": 0, "type": "integer", "description": "Only return models with context >= this many tokens.", "default": 0 }, "filterMaxInputCostPerMTok": { "title": "Max Input Cost per Million Tokens (USD)", "minimum": 0, "type": "integer", "description": "Only return models cheaper than this for input. 0 = no filter.", "default": 0 }, "rankBy": { "title": "Rank Output By", "enum": [ "inputCostPerMTok", "outputCostPerMTok", "contextWindow", "provider" ], "type": "string", "description": "Sort output by this field.", "default": "inputCostPerMTok" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```