--- title: DeepSeek: R1 API | Text Generation | ModelsLab description: Build with DeepSeek: R1 API by Deepseek. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/modelslab/deepseek-deepseek-r1.md canonical: https://modelslab.com/models/modelslab/deepseek-deepseek-r1.md type: product component: Playground/LLM/Index generated_at: 2026-06-24T23:49:46.748053Z --- DeepSeek: R1 --- [LLMs.txt](https://modelslab.com/models/open_router/deepseek-deepseek-r1/llms.txt) [.md](https://modelslab.com/models/deepseek/deepseek-deepseek-r1.md) DeepSeek: R1 --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### DeepSeek: R1 deepseek deepseek-deepseek-r1 Copy model ID PricingInput $0.70 / 1M tokens Output $2.50 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. Temperature0.7 Max Tokens1000 Top P0.9 Frequency Penalty0 Presence Penalty0 Model Info Support Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [#### open\_router/Qwen: Qwen3 VL 30B A3B Instruct qwen-qwen3-vl-30b-a3b-instruct From $0.33/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-instruct) [#### open\_router/StepFun: Step 3.5 Flash stepfun-step-3.5-flash From $0.20/M tokens](https://modelslab.com/models/open_router/stepfun-step-3.5-flash) [#### open\_router/Anthropic: Claude Opus 4.8 (Fast) anthropic-claude-opus-4.8-fast From $30.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-opus-4.8-fast) [#### open\_router/WizardLM-2 8x22B microsoft-wizardlm-2-8x22b From $0.62/M tokens](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b) [#### open\_router/Mistral: Ministral 3 8B 2512 mistralai-ministral-8b-2512 From $0.15/M tokens](https://modelslab.com/models/open_router/mistralai-ministral-8b-2512) [#### meta/Meta Llama 3.1 405B Instruct Turbo meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo From $3.50/M tokens](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-405B-Instruct-Turbo) [#### open\_router/Sao10K: Llama 3 8B Lunaris sao10k-l3-lunaris-8b From $0.04/M tokens](https://modelslab.com/models/open_router/sao10k-l3-lunaris-8b) [#### openai/GPT-5.1-Codex-Max gpt-5.1-codex-max From $5.63/M tokens](https://modelslab.com/models/openai/gpt-5.1-codex-max) [#### open\_router/TheDrummer: UnslopNemo 12B thedrummer-unslopnemo-12b From $0.40/M tokens](https://modelslab.com/models/open_router/thedrummer-unslopnemo-12b) [#### open\_router/MoonshotAI: Kimi K2 0711 moonshotai-kimi-k2 From $1.44/M tokens](https://modelslab.com/models/open_router/moonshotai-kimi-k2) [#### open\_router/Qwen: Qwen3 Next 80B A3B Instruct qwen-qwen3-next-80b-a3b-instruct From $0.59/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-instruct) [#### open\_router/Cohere: Command R7B (12-2024) cohere-command-r7b-12-2024 From $0.09/M tokens](https://modelslab.com/models/open_router/cohere-command-r7b-12-2024) [#### open\_router/Xiaomi: MiMo-V2.5-Pro xiaomi-mimo-v2.5-pro From $0.65/M tokens](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5-pro) [#### open\_router/Google Gemini Flash Latest google-gemini-flash-latest From $5.25/M tokens](https://modelslab.com/models/open_router/google-gemini-flash-latest) [#### scb10x/Typhoon 2 70B Instruct scb10x-scb10x-llama3-1-typhoon2-70b-instruct From $1.06/M tokens](https://modelslab.com/models/scb10x/scb10x-scb10x-llama3-1-typhoon2-70b-instruct) [#### open\_router/Nex AGI: Nex-N2-Pro nex-agi-nex-n2-pro From $0.63/M tokens](https://modelslab.com/models/open_router/nex-agi-nex-n2-pro) [#### open\_router/DeepSeek: DeepSeek V4 Pro deepseek-deepseek-v4-pro From $0.65/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-v4-pro) [#### open\_router/Qwen: Qwen3 30B A3B qwen-qwen3-30b-a3b From $0.31/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models) [MU Popular](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About DeepSeek: R1 --- DeepSeek R1 is here: Performance on par with \[OpenAI o1\](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.... ### Technical Specifications Model IDdeepseek-deepseek-r1 CategoryLLM Models TaskText Generation Price$1.6 per million tokens AddedFebruary 20, 2026 ### Key Features - Chat completion and multi-turn conversation API - Streaming response with token-by-token output - Function calling and tool use support - System prompts and role-based messaging - JSON mode and structured output ### Quick Start Integrate DeepSeek: R1 into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "deepseek-deepseek-r1", "messages": [ { "role": "user", "content": "Hello!" } ], "max_tokens": 1000, "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` ### Pricing DeepSeek: R1 API costs $1.600000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Deepseek](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) DeepSeek: R1 FAQ --- ### What is DeepSeek: R1? DeepSeek R1 is here: Performance on par with \[OpenAI o1\](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.... ### How do I use the DeepSeek: R1 API? You can integrate DeepSeek: R1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "deepseek-deepseek-r1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does DeepSeek: R1 cost? DeepSeek: R1 costs $1.600000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the DeepSeek: R1 model ID? The model ID for DeepSeek: R1 is "deepseek-deepseek-r1". Use this ID in your API requests to specify this model. ### Does DeepSeek: R1 have a free tier? Yes, ModelsLab offers a free tier that lets you try DeepSeek: R1 and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-06-25*