Gemini 2.5 Pro thinks before it speaks — literally. It uses extended internal reasoning to work through complex problems before producing a response, which makes it notably stronger on multi-step logic, math, and code than models that answer immediately. The trade-off is latency: that deliberation takes time, so it's less suited to quick back-and-forth exchanges.
| Benchmark | Score | Type | Recorded |
|---|---|---|---|
| LiveCodeBench | 70.4 | accuracy | 5d ago |
| IFBench | 52.3 | prompt_level_loose_accuracy | 5d ago |
| Aider Polyglot | 76.9 | accuracy | 5d ago |
| AIME 2025 | 86.7 | accuracy | 5d ago |
| AIME 2024 | 92.0 | accuracy | 5d ago |
| LCR | 66.0 | pass@1_accuracy | 5d ago |
| SWE-Bench | 63.8 | accuracy | 5d ago |