--- title: DeepSeek: DeepSeek V3.2 Exp | Text Generation | ModelsLab description: 685B MoE LLM with 37B active params, DeepSeek Sparse Attention for long-context efficiency (128k tokens), 29 t/s output, gold-medal reasoning rivaling. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.2-exp/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.2-exp/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T09:42:42.309053Z --- DeepSeek: DeepSeek V3.2 Exp --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.2-exp/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.2-exp.md) deepseek-deepseek-v3.2-exp deepseek Closed Source Model $0.340000 / call DeepSeek: DeepSeek V3.2 Exp --- 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 Exp deepseek deepseek-deepseek-v3.2-exp Copy model ID PricingInput $0.27 / 1M tokens Output $0.41 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-4b-it)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemma 3 4B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-4b-it) [BE](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-vl-424b-a47b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Baidu: ERNIE 4.5 VL 424B A47B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-vl-424b-a47b) [MK](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/moonshotai-kimi-k2-0905)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [MoonshotAI: Kimi K2 0905 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/moonshotai-kimi-k2-0905) [XG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4.1-fast)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [xAI: Grok 4.1 Fast Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4.1-fast) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3.1-flash-lite)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemini 3.1 Flash Lite Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3.1-flash-lite) [![Meta: Llama 3 8B Instruct](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/07cb8c22-a068-40f8-a2e8-57d8b2371261.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3-8b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Meta: Llama 3 8B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3-8b-instruct) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-latest)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI GPT Latest Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-latest) [DR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-r1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [DeepSeek: R1 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-r1) [MS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/mistral_ai) [Mistral Small (24B) Instruct 25.01 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.2)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.2 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.2) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-image)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5 Image Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-image) [SM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/sarvamai-sarvam-m)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Sarvam M Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/sarvamai-sarvam-m) [AA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/arize-ai-qwen-2-1.5b-instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Arize AI Qwen 2 1.5B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/arize-ai-qwen-2-1.5b-instruct) [![GPT 5.1](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/fad83520-47a8-4059-b4b9-b32adf4d0be7.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt5.1)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai) [GPT 5.1 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt5.1) [GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3-flash-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Google: Gemini 3 Flash Preview Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemini-3-flash-preview) [VU](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/cognitivecomputations-dolphin-mistral-24b-venice-edition-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Venice: Uncensored (free) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/cognitivecomputations-dolphin-mistral-24b-venice-edition-free) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.3-codex)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.3-Codex Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.3-codex) [IG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/ibm-granite-granite-4.1-8b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [IBM: Granite 4.1 8B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/ibm-granite-granite-4.1-8b) About DeepSeek: DeepSeek V3.2 Exp --- DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism... ### Technical Specifications Model IDdeepseek-deepseek-v3.2-expCategoryLLM ModelsTaskText GenerationPrice$0.340000 per million tokensAddedFebruary 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 Exp into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-exp", "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-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.2-exp/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing DeepSeek: DeepSeek V3.2 Exp API costs $0.340000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Deepseek](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) DeepSeek: DeepSeek V3.2 Exp FAQ --- ### What is DeepSeek: DeepSeek V3.2 Exp? DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism... ### How do I use the DeepSeek: DeepSeek V3.2 Exp API? You can integrate DeepSeek: DeepSeek V3.2 Exp 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-exp" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does DeepSeek: DeepSeek V3.2 Exp cost? DeepSeek: DeepSeek V3.2 Exp costs $0.340000 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 Exp model ID? The model ID for DeepSeek: DeepSeek V3.2 Exp is "deepseek-deepseek-v3.2-exp". Use this ID in your API requests to specify this model. ### Does DeepSeek: DeepSeek V3.2 Exp have a free tier? Yes, ModelsLab offers a free tier that lets you try DeepSeek: DeepSeek V3.2 Exp 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 - 2026-05-13*