DeepSeek V3.2 Speciale
DeepSeek • LLM
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...
Specifications
Context Window
164K tokens
Input Price/1M
—
Output Price/1M
—
Parameters
—
Max Output
164K tokens
Benchmarks
DeepSeek V3.2 Speciale results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 35.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 90.0 | 100.0 | Artificial Analysis official API |
| SciCode | 44.0 | 100.0 | — |
| AA Coding Index | 37.9 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 86.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 59.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AIME 2025 | 97.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 96.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 29.4 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 87.0 | 100.0 | Artificial Analysis official API |
| MMLU Pro | 86.3 | 100.0 | Artificial Analysis official API |
| IFBench | 64.0 | 100.0 | — |
| HLE | 26.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 0.0 | 100.0 | — |
Information
- Release date
- December 01, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: DeepSeek V3.2 Speciale
What is DeepSeek V3.2 Speciale?
DeepSeek V3.2 Speciale is an AI model developed by DeepSeek, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 164K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
DeepSeek V3.2 Speciale does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check DeepSeek's official website for up-to-date availability and pricing.
Benchmarks & Performance
DeepSeek V3.2 Speciale was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
DeepSeek V3.2 Speciale is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, DeepSeek V3.2 Speciale competes directly with similarly capable models. DeepSeek competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is 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 much does DeepSeek V3.2 Speciale cost?
DeepSeek V3.2 Speciale does not have public per-token pricing available at this time. Check DeepSeek's official website for up-to-date information.
How does DeepSeek V3.2 Speciale compare with other models?
In available benchmarks, DeepSeek V3.2 Speciale scored: Terminal-Bench Hard: 35/100, LiveCodeBench: 90/100, SciCode: 44/100. See the full table above for a detailed comparison.
Is DeepSeek V3.2 Speciale open source?
Yes, DeepSeek V3.2 Speciale is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is DeepSeek V3.2 Speciale best for?
DeepSeek V3.2 Speciale excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →