- Params
- 32B
- Context
- β
- Released
- Sep 2025
K2-Think is a reasoning system that achieves state-of-the-art performance with a 32B parameter model, matching or surpassing much larger models like GPT-OSS 120.
Full K2 Think specs βNew: connect Claude & other AIs to GenAIList over MCP β research the catalog and contribute to the shared knowledge base. Learn how β
A head-to-head benchmark comparison of K2 Think across 8 evaluations.
K2-Think is a reasoning system that achieves state-of-the-art performance with a 32B parameter model, matching or surpassing much larger models like GPT-OSS 120.
Full K2 Think specs β| Benchmark | K2 Think |
|---|---|
| code | |
| LiveCodeBench v5 | 63.97% |
| SciCode | 39.2% |
| math | |
| AIME 2024 | 90.83% |
| AIME 2025 | 81.24% |
| HMMT February 2025 | 73.75% |
| Omni-MATH-HARD | 60.73% |
| reasoning | |
| GPQA Diamond | 71.08% |
| Humanity's Last Exam | 9.95% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
K2 Think has the strongest result on LiveCodeBench v5 among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 8 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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