DeepSeek-V3.2 (Thinking)
DeepSeek-V3.2 in thinking mode. A powerful reasoning model with 685B parameters using DeepSeek Sparse Attention (DSA). This mode enables extended chain-of-thought reasoning for complex problem-solving tasks. Supports JSON output and tool calls.
Benchmark results
| Benchmark | Score | Tags | Source |
|---|---|---|---|
| AIME 2025 | 93.1% | self-reported llm-stats | link → |
| BrowseComp | 51.4% | self-reported llm-stats | link → |
| BrowseComp-zh | 65.0% | self-reported llm-stats | link → |
| CodeForces | 79.5% | self-reported llm-stats | link → |
| GPQA | 82.4% | self-reported llm-stats | link → |
| HMMT 2025 | 90.2% | self-reported llm-stats | link → |
| Humanity's Last Exam | 25.1% | self-reported llm-stats | link → |
| LiveCodeBench | 83.3% | self-reported llm-stats | link → |
| MMLU-Pro | 85.0% | self-reported llm-stats | link → |
| SWE-bench Multilingual | 70.2% | self-reported llm-stats | link → |
| SWE-Bench Verified | 73.1% | self-reported llm-stats | link → |
| t2-bench | 80.2% | self-reported llm-stats | link → |
| Terminal-Bench 2.0 | 46.4% | self-reported llm-stats | link → |
| Toolathlon | 35.2% | self-reported llm-stats | link → |