# Moonshot Kimi API Pricing Catalog (`jungle_synthesizer/moonshot-kimi-api-pricing-catalog-scraper`) Actor Scrapes the Moonshot Kimi API pricing catalog for all models — Kimi K2, Kimi K2.5, Kimi K2.6, and Moonshot V1 family. Returns per-model input/output token prices (CNY), cache-hit pricing, context window size, modality, and a USD equivalent using the day-of-run exchange rate. - **URL**: https://apify.com/jungle\_synthesizer/moonshot-kimi-api-pricing-catalog-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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.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 ## Moonshot Kimi API Pricing Catalog Scraper Scrapes the [Moonshot Kimi API platform](https://platform.kimi.com/docs/pricing/chat) for current model pricing across all supported variants. Returns CNY-denominated token prices, context window sizes, cache-hit discounts, and USD equivalents calculated using the day-of-run exchange rate — because Kimi bills in CNY only, and most Western buyers would like to know what that actually costs. ### Kimi Pricing Catalog Features - Covers the full Kimi model catalog: Kimi K2.6 (multimodal), Kimi K2.5, and the Moonshot V1 family (8k, 32k, 128k — text and vision variants) - Returns both CNY-native prices and USD equivalents, with the live CNY/USD exchange rate included in every record - Cache-hit pricing tracked separately for K2 models — which have a distinct discounted input tier when context cache is warm - Modality and feature flags per model: which models support vision, tool calls, JSON mode, context caching, function calling - Fetches the Mintlify `.md` endpoints directly — structured data, no browser required - No API key or authentication needed - Runs in under 30 seconds for the full catalog ### What Can You Do With Kimi Pricing Data? - **AI cost modelers** — build CNY-to-USD pricing tables for Chinese LLM providers alongside DeepSeek, Qwen, and others - **Developer tool builders** — feed accurate pricing into token-cost calculators, comparison dashboards, or model-selection APIs - **Finance and procurement teams** — track Kimi pricing over time for SaaS contract negotiations or budget forecasting - **AI researchers** — benchmark Chinese frontier models against GPT-4o and Claude on a cost-per-token basis - **Resellers and aggregators** — surface Kimi pricing on LLM comparison sites without having to parse a Chinese-language pricing page by hand ### How It Works 1. Fetches the live CNY/USD exchange rate from a free public FX endpoint before any pricing data is processed. 2. Requests each pricing sub-page (K2.6, K2.5, and Moonshot V1) as structured Markdown documents, which are cheaper to parse than the full HTML page. 3. Extracts model rows from the embedded JSX table data, mapping each row to a typed output record with CNY prices and computed USD equivalents. 4. Emits one record per model variant, with every field defined in the schema populated. ### Moonshot Kimi Pricing Scraper — Input ```json { "maxItems": 15 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | 15 | Maximum number of model records to return. The full catalog is 8–12 records across all families, so the default covers everything. | ### Moonshot Kimi Pricing Scraper — Output Fields Each run returns one JSON record per model variant. ```json { "model_name": "kimi-k2.6", "model_family": "kimi-k2", "context_window_tokens": 262144, "input_price_cny_per_million": 6.5, "input_price_cache_hit_cny_per_million": 1.1, "output_price_cny_per_million": 27, "input_price_usd_equivalent": 0.9598, "input_price_cache_hit_usd_equivalent": 0.1624, "output_price_usd_equivalent": 3.9867, "cny_usd_exchange_rate_used": 0.147655, "modality": "text,vision", "features": "tool_calls,json_mode,context_caching,function_calling", "moonshot_compatible": true, "deprecated": false, "source_url": "https://platform.kimi.com/docs/pricing/chat-k26", "source": "platform.kimi.com", "scraped_at": "2026-06-01T07:00:00.000Z" } ``` | Field | Type | Description | |-------|------|-------------| | `model_name` | string | API-facing model identifier (e.g. `kimi-k2.6`, `moonshot-v1-128k`) | | `model_family` | string | Model family: `kimi-k2` or `moonshot-v1` | | `context_window_tokens` | number | Context window size in tokens | | `input_price_cny_per_million` | number | Standard input token price in CNY per 1M tokens (cache miss) | | `input_price_cache_hit_cny_per_million` | number | Discounted cache-hit input price in CNY per 1M tokens (K2 family only; null for V1) | | `output_price_cny_per_million` | number | Output token price in CNY per 1M tokens | | `input_price_usd_equivalent` | number | Input price converted to USD using the day-of-run FX rate | | `input_price_cache_hit_usd_equivalent` | number | Cache-hit input price in USD (null for V1 models) | | `output_price_usd_equivalent` | number | Output price in USD | | `cny_usd_exchange_rate_used` | number | Live CNY/USD exchange rate used for conversion | | `modality` | string | Supported input modalities, comma-separated (e.g. `text,vision`) | | `features` | string | API features available for this model, comma-separated | | `moonshot_compatible` | boolean | Always true — all Kimi models expose an OpenAI-compatible SDK endpoint | | `deprecated` | boolean | Whether the model is marked deprecated | | `source_url` | string | Canonical pricing page URL for this model family | | `source` | string | Always `platform.kimi.com` | | `scraped_at` | string | ISO-8601 timestamp of the run | ### 🔍 FAQ #### How do I scrape Kimi API pricing? Kimi Pricing Catalog Scraper handles it end-to-end. Set `maxItems` to 15 (or omit it entirely to use the default), run the actor, and you get a structured JSON record for every model variant the Kimi platform publishes. No configuration beyond that. #### What does the Moonshot Kimi Pricing Scraper cost to run? The actor is pay-per-event. Expect around $0.008 per full catalog run (8 records at $0.001 each, plus the $0.10 actor start — which is less than a dollar for data you'd otherwise collect by hand from a Chinese-language docs page every time pricing changes). #### Does the scraper include USD pricing? Kimi Pricing Catalog Scraper fetches a live CNY/USD exchange rate before processing any pricing rows. Every output record includes both the CNY-native price and a USD equivalent, along with the exchange rate used — so you know exactly what conversion was applied and when. #### Does this need proxies or authentication? No proxies, no API keys. The Kimi docs platform serves its pricing data as structured Markdown, and those endpoints respond to plain HTTP requests without any access controls. #### Which Kimi models are included? The current catalog covers Kimi K2.6, Kimi K2.5, moonshot-v1-8k, moonshot-v1-32k, moonshot-v1-128k, and the vision preview variants of each Moonshot V1 model. The scraper pulls from all three pricing sub-pages, so it captures the full published catalog. *** ### Need More Features? Need batch pricing, historical change tracking, or coverage for other Chinese LLM providers? [Open an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use Moonshot Kimi API Pricing Catalog Scraper? - **CNY-to-USD conversion built in** — the only Kimi pricing scraper in the store that converts to USD at the live exchange rate, which is the entire reason a Western developer would need this. - **Structured output** — returns clean JSON with consistent field types and a defined schema, which saves the 20 minutes you'd spend reformatting a copy-pasted pricing table. - **No browser, no overhead** — fetches lightweight Markdown endpoints rather than the full React page. Fast and cheap to run, which makes sense for a catalog that changes infrequently but needs to stay current. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of model records to return. Defaults to all available models (~10-15 across all families). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/moonshot-kimi-api-pricing-catalog-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/moonshot-kimi-api-pricing-catalog-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15 }' | apify call jungle_synthesizer/moonshot-kimi-api-pricing-catalog-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/moonshot-kimi-api-pricing-catalog-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Moonshot Kimi API Pricing Catalog", "description": "Scrapes the Moonshot Kimi API pricing catalog for all models — Kimi K2, Kimi K2.5, Kimi K2.6, and Moonshot V1 family. Returns per-model input/output token prices (CNY), cache-hit pricing, context window size, modality, and a USD equivalent using the day-of-run exchange rate.", "version": "0.1", "x-build-id": "bvh7v5EqXxYFBAZOT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~moonshot-kimi-api-pricing-catalog-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-moonshot-kimi-api-pricing-catalog-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~moonshot-kimi-api-pricing-catalog-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-moonshot-kimi-api-pricing-catalog-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~moonshot-kimi-api-pricing-catalog-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-moonshot-kimi-api-pricing-catalog-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of model records to return. Defaults to all available models (~10-15 across all families).", "default": 15 } } }, "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 } } } } } } } } } } ```