--- title: DeepSeek: DeepSeek V3.2 API | Text Generation | ModelsLab description: High-efficiency MoE LLM with 685B total/37B active params, DeepSeek Sparse Attention, 163k token context for superior reasoning, agent tasks, math. url: https://modelslab.com/models/deepseek/deepseek-deepseek-v3.2.md canonical: https://modelslab.com/models/deepseek/deepseek-deepseek-v3.2.md type: product component: Playground/LLM/Index generated_at: 2026-06-03T20:22:09.259796Z --- DeepSeek: DeepSeek V3.2 --- [LLMs.txt](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2/llms.txt) [.md](https://modelslab.com/models/deepseek/deepseek-deepseek-v3.2.md) DeepSeek: DeepSeek V3.2 --- 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: DeepSeek V3.2 deepseek deepseek-deepseek-v3.2 Copy model ID PricingInput $0.2288 / 1M tokens Output $0.3432 / 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. 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It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism... ### Technical Specifications Model IDdeepseek-deepseek-v3.2 CategoryLLM Models TaskText Generation Price$0.286 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: DeepSeek V3.2 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-v3.2", "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: DeepSeek V3.2 API costs $0.286000 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 [Learn more about DeepSeek: DeepSeek V3.2](https://modelslab.com/deepseek-deepseek-v32) [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: DeepSeek V3.2 FAQ --- ### What is DeepSeek: DeepSeek V3.2? DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism... ### How do I use the DeepSeek: DeepSeek V3.2 API? You can integrate DeepSeek: DeepSeek V3.2 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "deepseek-deepseek-v3.2" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does DeepSeek: DeepSeek V3.2 cost? DeepSeek: DeepSeek V3.2 costs $0.286000 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: DeepSeek V3.2 model ID? The model ID for DeepSeek: DeepSeek V3.2 is "deepseek-deepseek-v3.2". Use this ID in your API requests to specify this model. ### Does DeepSeek: DeepSeek V3.2 have a free tier? Yes, ModelsLab offers a free tier that lets you try DeepSeek: DeepSeek V3.2 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 - 2026-06-04*