--- title: DeepSeek: DeepSeek V3.2 Speciale | Text Generation | ModelsLab description: Open-weight reasoning LLM with 685B parameters, 128k context, achieving GPT-5 level performance on complex math & coding tasks with MIT license. url: https://modelslab.com/models/deepseek/deepseek-deepseek-v3.2-speciale.md canonical: https://modelslab.com/models/deepseek/deepseek-deepseek-v3.2-speciale.md type: product component: Playground/LLM/Index generated_at: 2026-04-15T00:19:13.435414Z --- DeepSeek: DeepSeek V3.2 Speciale --- [LLMs.txt](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2-speciale/llms.txt) [.md](https://modelslab.com/models/deepseek/deepseek-deepseek-v3.2-speciale.md) deepseek-deepseek-v3.2-speciale deepseek Closed Source Model $0.800000 / call DeepSeek: DeepSeek V3.2 Speciale --- 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 Speciale deepseek deepseek-deepseek-v3.2-speciale Copy model ID PricingInput $0.40 / 1M tokens Output $1.20 / 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 builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning... ### Technical Specifications Model IDdeepseek-deepseek-v3.2-specialeCategoryLLM ModelsTaskText GenerationPrice$0.800000 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 Speciale 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-speciale", "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/deepseek-deepseek-v3.2-speciale/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing DeepSeek: DeepSeek V3.2 Speciale API costs $0.800000 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 Speciale](https://modelslab.com/deepseek-deepseek-v32-speciale) [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 Speciale FAQ --- ### What is DeepSeek: DeepSeek V3.2 Speciale? DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning... ### How do I use the DeepSeek: DeepSeek V3.2 Speciale API? You can integrate DeepSeek: DeepSeek V3.2 Speciale 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-speciale" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does DeepSeek: DeepSeek V3.2 Speciale cost? DeepSeek: DeepSeek V3.2 Speciale costs $0.800000 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 Speciale model ID? The model ID for DeepSeek: DeepSeek V3.2 Speciale is "deepseek-deepseek-v3.2-speciale". Use this ID in your API requests to specify this model. ### Does DeepSeek: DeepSeek V3.2 Speciale have a free tier? Yes, ModelsLab offers a free tier that lets you try DeepSeek: DeepSeek V3.2 Speciale 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*