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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gemini-2.5-pro
gemini
Context1M tokens
Input Price$1.25 / 1M tokens
Output Price$10 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1.25 / 1M tokens | $1.25 / 1M tokens |
| Output Price | $10 / 1M tokens | $10 / 1M tokens |
Capabilities | ||
| Context Window | 400K tokens | 1M tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image, audio, video |
Category Scores | ||
| Overall Average | 76.7 | 71.4 |
| Academia | 76.9 | 71.7 |
| Finance | 81.4 | 73.7 |
| Marketing | 77.5 | 66.1 |
| Maths | 94.3 | 87.7 |
| Programming | 52.7 | 49.3 |
| Science | 79.5 | 77.9 |
| Writing | 74.4 | 64.9 |
| Vision | N/A | 79.6 |
Benchmark Tests | ||
| AIME | 95.7 | 88.7 |
| AA Coding Index | 52.7 | 49.3 |
| AAII | 68.5 | 59.6 |
| AA Math Index | 94.3 | 87.7 |
| GPQA | 85.4 | 83.7 |
| HLE | 26.5 | 21.1 |
| LiveCodeBench | 84.6 | 80.1 |
| MATH-500 | 99.4 | 96.7 |
| MMLU-Pro | 87.1 | 86.2 |
| MMMU | _ | 79.6 |
| SciCode | 42.9 | 42.8 |
gpt-5 Advantages
- • Higher benchmark scores (76.7 vs 71.4)
gemini-2.5-pro Advantages
- • Larger context window (1M tokens vs 400K tokens)