# DeepSeek API Model Pricing Catalog (`jungle_synthesizer/deepseek-api-model-pricing-catalog-scraper`) Actor Scrapes the DeepSeek API pricing catalog for all models, including input/output token prices, cache-hit discounts, context window sizes, features, and footnotes. Tracks price changes across runs. - **URL**: https://apify.com/jungle\_synthesizer/deepseek-api-model-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 ## DeepSeek API Model Pricing Catalog Scrapes the DeepSeek API documentation site and returns one record per model with complete pricing, feature flags, context window sizes, and footnote annotations. Useful for cost-modelling batch inference workloads, comparing DeepSeek pricing against OpenAI/Anthropic, and tracking price changes over successive runs. ### What it does - Fetches `api-docs.deepseek.com/quick_start/pricing` — a static Docusaurus page, no browser required - Parses the model comparison table and emits one dataset record per model column - Extracts per-model: input price, cache-hit input price, output price, context window, max output, and feature flags - Captures footnote text with dated pricing-change announcements (e.g. "cache-hit price reduced to 1/10 of launch price, effective 2026-04-26") - Runs in under 20 seconds on default settings ### Use cases - **Batch inference cost modelling** — plug current prices into spreadsheets or cost-simulation tools - **Competitive benchmarking** — compare DeepSeek pricing against OpenAI/Anthropic/Mistral - **Price-change monitoring** — schedule daily runs and diff the dataset for changed prices - **Procurement decision support** — CFO and engineering teams can track discount windows and cache savings ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `maxItems` | Integer | Yes | Maximum records to return. DeepSeek currently offers 2 models; set to 10 to capture all. | #### Example input ```json { "maxItems": 10 } ```` ### Output One dataset record per model. All prices are in USD per 1 million tokens. | Field | Type | Description | |-------|------|-------------| | `model_name` | String | API model identifier (e.g. `deepseek-v4-flash`, `deepseek-v4-pro`) | | `model_version` | String | Display version name (e.g. `DeepSeek-V4-Flash`) | | `context_window_tokens` | Number | Maximum context length in tokens | | `max_output_tokens` | Number | Maximum tokens the model can generate per request | | `input_price_usd_per_million` | Number | Cache-miss input price (USD/1M tokens) | | `input_price_cache_hit_usd_per_million` | Number | Cache-hit input price — typically 1/10 of the cache-miss price | | `output_price_usd_per_million` | Number | Output token price (USD/1M tokens) | | `off_peak_input_price_usd_per_million` | Number | Off-peak input price, when active (`null` if no off-peak window currently offered) | | `off_peak_output_price_usd_per_million` | Number | Off-peak output price, when active | | `off_peak_window_utc` | String | Off-peak time window in UTC (e.g. `16:30-00:30 UTC`), or `null` | | `currency_native` | String | Denomination of the listed prices (`USD`) | | `effective_date` | String | Date of the most recent pricing change noted in footnotes (ISO 8601) | | `deprecated` | Boolean | Whether the model itself is marked deprecated | | `replacement_model` | String | Replacement model name if deprecated, otherwise `null` | | `features` | Array | API features enabled for this model (e.g. `json_output`, `tool_calls`, `fim_completion`) | | `notes` | String | Full footnote and disclaimer text from the pricing page | | `source_url` | String | URL scraped | | `source` | String | Source domain (`api-docs.deepseek.com`) | | `last_changed` | String | ISO date when a price change was detected vs. prior run, or `null` | #### Example output record ```json { "model_name": "deepseek-v4-flash", "model_version": "DeepSeek-V4-Flash", "context_window_tokens": 1000000, "max_output_tokens": 384000, "input_price_usd_per_million": 0.14, "input_price_cache_hit_usd_per_million": 0.0028, "output_price_usd_per_million": 0.28, "off_peak_input_price_usd_per_million": null, "off_peak_output_price_usd_per_million": null, "off_peak_window_utc": null, "currency_native": "USD", "effective_date": "2026-04-26", "deprecated": false, "replacement_model": null, "features": ["json_output", "tool_calls", "chat_prefix_completion", "fim_completion"], "notes": "The prices listed below are in units of per 1M tokens...", "source_url": "https://api-docs.deepseek.com/quick_start/pricing", "source": "api-docs.deepseek.com", "last_changed": null } ``` ### Pricing This actor charges **$0.10 per start** + **$0.001 per record** returned. A standard run with `maxItems: 10` returns 2 records (one per active model) and costs approximately $0.102. ### Notes - DeepSeek updates their pricing page directly when pricing changes. The `effective_date` field reflects the most recent dated footnote on the page. - The `off_peak_*` fields are reserved for DeepSeek's discount window feature (historically 50% off during 16:30–00:30 UTC). These fields return `null` if the feature is not currently listed on the page. - Legacy model aliases `deepseek-chat` and `deepseek-reasoner` are being deprecated; they currently map to the non-thinking and thinking modes of `deepseek-v4-flash` respectively. # 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 records to scrape ## 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": 10 } ``` # 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": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/deepseek-api-model-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": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/deepseek-api-model-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": 10 }' | apify call jungle_synthesizer/deepseek-api-model-pricing-catalog-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/deepseek-api-model-pricing-catalog-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "DeepSeek API Model Pricing Catalog", "description": "Scrapes the DeepSeek API pricing catalog for all models, including input/output token prices, cache-hit discounts, context window sizes, features, and footnotes. Tracks price changes across runs.", "version": "0.1", "x-build-id": "lyqAYD7Gb07w8d4xk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~deepseek-api-model-pricing-catalog-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-deepseek-api-model-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~deepseek-api-model-pricing-catalog-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-deepseek-api-model-pricing-catalog-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~deepseek-api-model-pricing-catalog-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-deepseek-api-model-pricing-catalog-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 records to scrape", "default": 10 } } }, "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 } } } } } } } } } } ```