DeepSeek: DeepSeek V3.2 Speciale

deepseek/deepseek-v3.2-speciale

Released Dec 1, 2025163,840 context

$0.40/M input tokens$1.20/M output tokens

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 to push capability beyond the base model. Reported evaluations place Speciale ahead of GPT-5 on difficult reasoning workloads, with proficiency comparable to Gemini-3.0-Pro, while retaining strong coding and tool-use reliability. Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.

Providers for DeepSeek V3.2 Speciale

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for DeepSeek V3.2 Speciale

Compare different providers across OpenRouter

Effective Pricing for DeepSeek V3.2 Speciale

Actual cost per million tokens across providers over the past hour

Apps using DeepSeek V3.2 Speciale

Top public apps this month

Recent activity on DeepSeek V3.2 Speciale

Total usage per day on OpenRouter

Prompt

32.6M

Reasoning

23.1M

Completion

2.18M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for DeepSeek V3.2 Speciale

Uptime stats for DeepSeek V3.2 Speciale across all providers

Sample code and API for DeepSeek V3.2 Speciale

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

DeepSeek V3.2 Speciale - API Pricing & Providers | OpenRouter