Cogito v2.1 (Deep Cogito research blog) Nov 19, 2025
- SWE-Bench Verified (solve rate, Agentless) 42
- GPQA Diamond 77.7
- MMLU Pro 84.7
- Multilingual MMLU 86.2
- Humanity's Last Exam 16.7
- SimpleQA Verified (f1) 30.9
- AIME 2025 89.5
- MATH-500 98.6
Cogito v2.1 places in the top three on MATH-500.
Open weights
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMLU-Pro | 84.7% | #35 of 167 | Lab model card | |
| MMMLU | 86.2% | #25 of 71 | Lab model card | |
| Humanity's Last Exam | 16.7% | #120 of 154 | Lab model card | |
| SimpleQA Verified | 30.9% | #19 of 22 | Lab model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH-500 | 98.6% | #3 of 70 | Lab model card | |
| AIME 2025 | 89.5% | #52 of 143 | Lab model card | |
| GPQA Diamond | 77.7% | #132 of 302 | Lab model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SWE-bench Verified | 42% | #142 of 155 | Lab model card |
The Self-Reported Index fits one score to the 8 capability results Deep Cogito reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 134.0 to 140.3. How we compute it.
The benchmarks the lab chose to headline, with the scores it gave.