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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 | $15 / 1M tokens | $1.25 / 1M tokens |
| Output Price | $60 / 1M tokens | $10 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 1M tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image, audio, video |
Category Scores | ||
| Overall Average | 64.8 | 68.9 |
| Academia | 61.8 | 71.7 |
| Finance | 66.0 | 76.2 |
| Marketing | 57.1 | 46.8 |
| Maths | 84.7 | 92.7 |
| Programming | 51.9 | 61.5 |
| Science | 76.4 | 83.7 |
| Vision | 77.6 | 79.6 |
| Writing | 43.0 | 38.8 |
Benchmark Tests | ||
| AIME | 72.3 | 88.7 |
| AA Coding Index | 51.9 | 61.5 |
| AAII | 47.2 | 59.6 |
| AA Math Index | 84.7 | 92.7 |
| GPQA | 76.4 | 83.7 |
| HLE | 7.7 | 21.1 |
| HumanEval | 88.1 | _ |
| LiveCodeBench | 67.9 | 80.1 |
| MATH-500 | 97.0 | 96.7 |
| MMLU | 91.8 | _ |
| MMLU-Pro | 84.1 | 86.2 |
| MMMU | 77.6 | 79.6 |
| SciCode | 35.8 | 42.8 |
o1 Advantages
gemini-2.5-pro Advantages
- • Higher benchmark scores (68.9 vs 64.8)
- • Lower input token cost ($1.25 / 1M tokens vs $15 / 1M tokens)
- • Larger context window (1M tokens vs 200K tokens)