--- title: Deepseek V3.2 API | Text Generation | ModelsLab description: Build with Deepseek V3.2 API by Deepseek Ai. Text generation, chat, code, and reasoning. Pay-per-use. Free tier. url: https://modelslab.com/models/deepseek-ai/deepseek-ai-DeepSeek-V3.2/api.md canonical: https://modelslab.com/models/deepseek-ai/deepseek-ai-DeepSeek-V3.2/api.md type: product component: Playground/LLM/Index generated_at: 2026-04-15T02:13:14.140519Z --- Deepseek V3.2 --- [LLMs.txt](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.2/llms.txt) [.md](https://modelslab.com/models/deepseek-ai/deepseek-ai-DeepSeek-V3.2.md) deepseek-ai-DeepSeek-V3.2 deepseek-ai Closed Source Model 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 V3.2 deepseek-ai deepseek-ai-DeepSeek-V3.2 Copy model ID PricingInput $0.00 / 1M tokens Output $0.00 / 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) [AN](https://modelslab.com/models/open_router/amazon-nova-lite-v1)[Open Router](https://modelslab.com/models/open_router) [Amazon: Nova Lite 1.0 Closed Source Model](https://modelslab.com/models/open_router/amazon-nova-lite-v1) [QQ](https://modelslab.com/models/open_router/qwen-qwen2.5-vl-72b-instruct)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen2.5 VL 72B Instruct Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen2.5-vl-72b-instruct) [![GPT-5](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/a05bf5f0-fe1a-4815-b135-3325beef2516.webp)](https://modelslab.com/models/openai/gpt-5)[Open Ai](https://modelslab.com/models/openai) [GPT-5 Closed Source Model](https://modelslab.com/models/openai/gpt-5) [QQ](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b)[Open Router](https://modelslab.com/models/open_router) [Qwen: Qwen3 30B A3B Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b) [Q8](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B)[Together AI](https://modelslab.com/models/together_ai) [Qwen3 8B Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B) [XG](https://modelslab.com/models/open_router/x-ai-grok-4.20-multi-agent)[Open Router](https://modelslab.com/models/open_router) [xAI: Grok 4.20 Multi-Agent Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-4.20-multi-agent) [GG](https://modelslab.com/models/open_router/google-gemma-3-27b-it-free)[Open Router](https://modelslab.com/models/open_router) [Google: Gemma 3 27B (free) Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-27b-it-free) [ML](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct)[Open Router](https://modelslab.com/models/open_router) [Meta: Llama 3.1 8B Instruct Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct) [ML](https://modelslab.com/models/open_router/meta-llama-llama-guard-4-12b)[Open Router](https://modelslab.com/models/open_router) [Meta: Llama Guard 4 12B Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-guard-4-12b) [NN](https://modelslab.com/models/open_router/nvidia-nemotron-nano-12b-v2-vl-free)[Open Router](https://modelslab.com/models/open_router) [NVIDIA: Nemotron Nano 12B 2 VL (free) Closed Source Model](https://modelslab.com/models/open_router/nvidia-nemotron-nano-12b-v2-vl-free) [OG](https://modelslab.com/models/open_router/openai-gpt-5.3-chat)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5.3 Chat Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.3-chat) [OG](https://modelslab.com/models/open_router/openai-gpt-4o-audio-preview)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-4o Audio Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-audio-preview) [Q1](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-1.5B)[Together AI](https://modelslab.com/models/together_ai) [Qwen2.5 1.5B Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-1.5B) [MM](https://modelslab.com/models/open_router/mistralai-mistral-small-24b-instruct-2501)[Open Router](https://modelslab.com/models/open_router) [Mistral: Mistral Small 3 Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-small-24b-instruct-2501) [OG](https://modelslab.com/models/open_router/openai-gpt-5)[Open Router](https://modelslab.com/models/open_router) [OpenAI: GPT-5 Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5) [AC](https://modelslab.com/models/open_router/anthropic-claude-3-haiku)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude 3 Haiku Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3-haiku) [AC](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet-thinking)[Open Router](https://modelslab.com/models/open_router) [Anthropic: Claude 3.7 Sonnet (thinking) Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-3.7-sonnet-thinking) [NH](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b)[Open Router](https://modelslab.com/models/open_router) [Nous: Hermes 3 405B Instruct Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-405b) About Deepseek V3.2 --- Deepseek V3.2 is a text generation AI model by Deepseek Ai available on ModelsLab. Access Deepseek V3.2 through our API with pay-per-use pricing and no minimum commitments. ### Technical Specifications Model IDdeepseek-ai-DeepSeek-V3.2CategoryLLM ModelsTaskText GenerationAddedApril 4, 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 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-ai-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}") ``` View the [full API documentation](https://modelslab.com/models/deepseek-ai/deepseek-ai-DeepSeek-V3.2/api) for SDKs, code examples in Python, JavaScript, and more. ### 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 Ai](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Deepseek V3.2 FAQ --- ### What is Deepseek V3.2? Deepseek V3.2 is a text generation AI model by Deepseek Ai available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments. ### How do I use the Deepseek V3.2 API? You can integrate 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-ai-DeepSeek-V3.2" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### What is the Deepseek V3.2 model ID? The model ID for Deepseek V3.2 is "deepseek-ai-DeepSeek-V3.2". Use this ID in your API requests to specify this model. ### Does Deepseek V3.2 have a free tier? Yes, ModelsLab offers a free tier that lets you try 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 - 2026-04-15*