--- 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-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.2-speciale/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.2-speciale/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T10:32:44.750394Z --- DeepSeek: DeepSeek V3.2 Speciale --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.2-speciale/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.2-speciale.md) deepseek-deepseek-v3.2-speciale deepseek Closed Source Model $0.359000 / 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 $0.287 / 1M tokens Output $0.431 / 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) [SL](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/sao10k-l3.3-euryale-70b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Sao10K: Llama 3.3 Euryale 70B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/sao10k-l3.3-euryale-70b) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-30b-a3b-thinking)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3 VL 30B A3B Thinking Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-30b-a3b-thinking) [DD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-chat)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [DeepSeek: DeepSeek V3 Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-chat) [NH](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-3-llama-3.1-405b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Nous: Hermes 3 405B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-3-llama-3.1-405b) [![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) [DC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepcogito-cogito-v2.1-671b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Deep Cogito: Cogito v2.1 671B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepcogito-cogito-v2.1-671b) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.2-11b-vision-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Meta: Llama 3.2 11B Vision Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.2-11b-vision-instruct) [NH](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-2-pro-llama-3-8b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [NousResearch: Hermes 2 Pro - Llama-3 8B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nousresearch-hermes-2-pro-llama-3-8b) [QV](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-32B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [Qwen3-VL-32B-Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-32B-Instruct) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.1-8b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Meta: Llama 3.1 8B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.1-8b-instruct) [QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-next)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Qwen: Qwen3 Coder Next Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-coder-next) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4-0314)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-4 (older v0314) Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4-0314) [RL](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/refuel_ai/togethercomputer-Refuel-Llm-V2-Small)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/refuel_ai) [Refuel LLM V2 Small Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/refuel_ai/togethercomputer-Refuel-Llm-V2-Small) [ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.2-3b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [Meta: Llama 3.2 3B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.2-3b-instruct) [DR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai) [DeepSeek R1 Distill Qwen 14B Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-R1-Distill-Qwen-14B) [OO](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-o4-mini-high)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: o4 Mini High Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-o4-mini-high) [OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1-codex-max)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [OpenAI: GPT-5.1-Codex-Max Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.1-codex-max) [T2](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/scb10x/scb10x-scb10x-llama3-1-typhoon2-70b-instruct)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/scb10x) [Typhoon 2 70B Instruct Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/scb10x/scb10x-scb10x-llama3-1-typhoon2-70b-instruct) About 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... ### Technical Specifications Model IDdeepseek-deepseek-v3.2-specialeCategoryLLM ModelsTaskText GenerationPrice$0.359000 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-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-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-frontend-v2-927501783998.us-east4.run.app/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 $0.359000 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 [Learn more about DeepSeek: DeepSeek V3.2 Speciale](https://modelslab-frontend-v2-927501783998.us-east4.run.app/deepseek-deepseek-v32-speciale) [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 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 $0.359000 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 - 2026-05-13*