# AI Model Price Monitor - GPT, Claude, Gemini & 300+ models (`genetheaiguy/ai-model-price-monitor`) Actor Live per-token API pricing for 300+ AI models — GPT, Claude, Gemini, Llama, Mistral & more — normalized to $/1M tokens, with price-change detection between runs. MCP-ready. - **URL**: https://apify.com/genetheaiguy/ai-model-price-monitor.md - **Developed by:** [Gene Swank](https://apify.com/genetheaiguy) (community) - **Categories:** AI, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 ai model price records This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 API Pricing Monitor — GPT, Claude, Gemini & 300+ models **Every AI model's API price, one dataset, always current — with automatic price-change detection.** AI providers change prices and ship new models weekly. Teams hand-maintain pricing spreadsheets that go stale in days. This actor replaces that: one run returns per-token pricing for **300+ models** across OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, xAI and more — normalized to **USD per 1M tokens** so everything is directly comparable — and flags **exactly which prices moved since your last run**. ### What it does - 📊 Pulls from two structured sources: **OpenRouter** (live marketplace pricing) and **LiteLLM's** maintained database of official list prices - 🔁 Normalizes everything to **$ / 1M input tokens** and **$ / 1M output tokens** - 🚨 **Price-change detection**: each record is flagged `none`, `new`, or the exact delta (e.g. `input $3.00 → $2.50/1M (-16.7%)`) since your previous run - 🔔 `onlyChanges` mode outputs *just* the moved prices — pipe it into Slack/email via Apify integrations for a free price-alert system - 🤖 API, schedules, and **MCP** ready — AI agents can ask "what's the cheapest model with a 200k context window?" against live data ### Who uses this - **Engineering teams** choosing models on cost/performance — with real, current numbers - **FinOps & procurement** tracking AI spend exposure as providers reprice - **Devtool & platform builders** who need a pricing table that never goes stale - **AI agents** doing autonomous model selection and cost optimization - **Newsletter writers & analysts** covering the AI market — schedule daily, get every price move first ### Output example ```json { "provider": "anthropic", "model": "anthropic/claude-sonnet-4.6", "inputPerMTokUsd": 3.0, "outputPerMTokUsd": 15.0, "contextWindow": 200000, "priceChange": "none", "source": "OpenRouter", "scrapedAt": "2026-07-14T15:04:05.000Z" } ```` ### Input options | Field | Description | Default | |---|---|---| | `sources` | OpenRouter, LiteLLM, or both | both | | `providerFilter` | e.g. `["openai","anthropic","google"]` | all | | `modelFilter` | e.g. `["gpt-5","claude","gemini"]` | all | | `maxInputPricePerMTok` | Price ceiling | none | | `detectChanges` | Flag price moves since your last run | true | | `onlyChanges` | Output only moved prices (alerting mode) | false | ### The killer workflow 1. Schedule this actor **daily** with `detectChanges: true` 2. Add an Apify integration (Slack, email, webhook) filtered on non-empty `priceChangesDetected` in the summary 3. You now know about every AI price cut and price hike the morning it happens — before your competitors reprice ### FAQ **How is this different from checking provider pricing pages?** One normalized dataset vs a dozen differently-formatted pages — plus history and change detection, which pricing pages don't give you. **Where does the data come from?** OpenRouter's public models API (live routed marketplace pricing) and LiteLLM's continuously-maintained pricing database (official list prices). Both are structured sources, not fragile page scraping. **Why do some models appear twice?** Marketplace pricing (OpenRouter) and official list price (LiteLLM) can differ — that spread is itself useful signal. Filter to one source if you want a single view. *** *Companion actor: **GPU Cloud Price & Availability Tracker** — same normalized approach for GPU rental prices.* # Actor input Schema ## `sources` (type: `array`): OpenRouter lists live marketplace pricing for 300+ models; LiteLLM is a maintained database of official provider list prices. Use both for the fullest picture. ## `providerFilter` (type: `array`): Only include these providers, e.g. \['openai','anthropic','google']. Case-insensitive substring match. Empty = all. ## `modelFilter` (type: `array`): Only include models whose name contains one of these strings, e.g. \['gpt-5','claude','gemini']. Empty = all. ## `maxInputPricePerMTok` (type: `integer`): Filter out models with input pricing above this. 0 = no limit. ## `detectChanges` (type: `boolean`): Compares against your previous run (stored in a named key-value store) and flags every record whose price moved. Schedule daily runs to get a change feed. ## `onlyChanges` (type: `boolean`): When change detection is on, output only records whose price moved since your last run. Perfect for alerting workflows. ## Actor input object example ```json { "sources": [ "openrouter", "litellm" ], "providerFilter": [ "openai", "anthropic", "google" ], "modelFilter": [], "maxInputPricePerMTok": 0, "detectChanges": true, "onlyChanges": false } ``` # 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 = { "sources": [ "openrouter", "litellm" ], "providerFilter": [ "openai", "anthropic", "google" ] }; // Run the Actor and wait for it to finish const run = await client.actor("genetheaiguy/ai-model-price-monitor").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 = { "sources": [ "openrouter", "litellm", ], "providerFilter": [ "openai", "anthropic", "google", ], } # Run the Actor and wait for it to finish run = client.actor("genetheaiguy/ai-model-price-monitor").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 '{ "sources": [ "openrouter", "litellm" ], "providerFilter": [ "openai", "anthropic", "google" ] }' | apify call genetheaiguy/ai-model-price-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=genetheaiguy/ai-model-price-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Model Price Monitor - GPT, Claude, Gemini & 300+ models", "description": "Live per-token API pricing for 300+ AI models — GPT, Claude, Gemini, Llama, Mistral & more — normalized to $/1M tokens, with price-change detection between runs. MCP-ready.", "version": "0.1", "x-build-id": "6qkh6xXrdnnFnOEC7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/genetheaiguy~ai-model-price-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-genetheaiguy-ai-model-price-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/genetheaiguy~ai-model-price-monitor/runs": { "post": { "operationId": "runs-sync-genetheaiguy-ai-model-price-monitor", "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/genetheaiguy~ai-model-price-monitor/run-sync": { "post": { "operationId": "run-sync-genetheaiguy-ai-model-price-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sources": { "title": "Data sources", "type": "array", "description": "OpenRouter lists live marketplace pricing for 300+ models; LiteLLM is a maintained database of official provider list prices. Use both for the fullest picture.", "items": { "type": "string", "enum": [ "openrouter", "litellm" ], "enumTitles": [ "OpenRouter (live marketplace)", "LiteLLM (official list prices)" ] }, "default": [ "openrouter", "litellm" ] }, "providerFilter": { "title": "Providers (filter)", "type": "array", "description": "Only include these providers, e.g. ['openai','anthropic','google']. Case-insensitive substring match. Empty = all.", "default": [], "items": { "type": "string" } }, "modelFilter": { "title": "Models (filter)", "type": "array", "description": "Only include models whose name contains one of these strings, e.g. ['gpt-5','claude','gemini']. Empty = all.", "default": [], "items": { "type": "string" } }, "maxInputPricePerMTok": { "title": "Max input price ($ / 1M tokens)", "minimum": 0, "type": "integer", "description": "Filter out models with input pricing above this. 0 = no limit.", "default": 0 }, "detectChanges": { "title": "Detect price changes since last run", "type": "boolean", "description": "Compares against your previous run (stored in a named key-value store) and flags every record whose price moved. Schedule daily runs to get a change feed.", "default": true }, "onlyChanges": { "title": "Output only changed prices", "type": "boolean", "description": "When change detection is on, output only records whose price moved since your last run. Perfect for alerting workflows.", "default": false } } }, "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 } } } } } } } } } } ```