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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 | $2.5 / 1M tokens | $1.25 / 1M tokens |
| Output Price | $10 / 1M tokens | $10 / 1M tokens |
Capabilities | ||
| Context Window | 128K tokens | 1M tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image, audio, video |
Category Scores | ||
| Overall Average | 35.6 | 70.0 |
| Academia | 42.0 | 74.2 |
| Finance | 37.5 | 78.7 |
| Marketing | 20.8 | 50.1 |
| Maths | 45.5 | 92.7 |
| Programming | 32.1 | 61.5 |
| Science | 54.3 | 83.7 |
| Writing | 17.0 | 39.4 |
| Vision | N/A | 79.6 |
Benchmark Tests | ||
| AIME | 15.0 | 88.7 |
| AA Coding Index | 32.1 | 61.5 |
| AAII | 29.6 | 64.6 |
| AA Math Index | 45.5 | 92.7 |
| GPQA | 54.3 | 83.7 |
| HLE | 3.3 | 21.1 |
| LiveCodeBench | 30.9 | 80.1 |
| MATH-500 | 75.9 | 96.7 |
| MMLU-Pro | 74.8 | 86.2 |
| MMMU | _ | 79.6 |
| SciCode | 33.3 | 42.8 |
gpt-4o Advantages
gemini-2.5-pro Advantages
- • Higher benchmark scores (70.0 vs 35.6)
- • Lower input token cost ($1.25 / 1M tokens vs $2.5 / 1M tokens)
- • Larger context window (1M tokens vs 128K tokens)