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DeepSeek-V3.2-Exp
DeepSeek · open weight · deepseek-v3.2-exp
DeepSeek-V3.2-Exp is an experimental iteration introducing DeepSeek Sparse Attention (DSA) to improve long-context training and inference efficiency while keeping output quality on par with V3.1. It explores fine-grained sparse attention for extended sequence processing.
Benchmark scores
| Benchmark | Score |
|---|---|
| SimpleQA | 0.97 |
| AIME 2025 | 0.89 |
| MMLU-Pro | 0.85 |
| GPQA | 0.80 |
| Aider-Polyglot | 0.74 |
| LiveCodeBench | 0.74 |
| SWE-Bench Verified | 0.68 |
| Humanity's Last Exam | 0.20 |
Pricing
- No provider pricing.
AA metrics
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Arena Elo
- No Arena snapshot linked.
