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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gemini-2.5-flash
gemini
Context1M tokens
Input Price$0.15 / 1M tokens
Output Price$0.6 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $15 / 1M tokens | $0.15 / 1M tokens |
| Output Price | $60 / 1M tokens | $0.6 / 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 | 55.6 |
| Academia | 61.8 | 61.6 |
| Finance | 66.0 | 56.0 |
| Marketing | 57.1 | 28.6 |
| Maths | 84.7 | 71.6 |
| Programming | 51.9 | 39.3 |
| Science | 76.4 | 82.8 |
| Vision | 77.6 | 79.7 |
| Writing | 43.0 | 25.3 |
Benchmark Tests | ||
| AIME | 72.3 | 50.0 |
| AA Coding Index | 51.9 | 39.3 |
| AAII | 47.2 | 40.4 |
| AA Math Index | 84.7 | 71.6 |
| GPQA | 76.4 | 82.8 |
| HLE | 7.7 | 5.1 |
| HumanEval | 88.1 | _ |
| LiveCodeBench | 67.9 | 49.5 |
| MATH-500 | 97.0 | 93.2 |
| MMLU | 91.8 | _ |
| MMLU-Pro | 84.1 | 80.9 |
| MMMU | 77.6 | 79.7 |
| SciCode | 35.8 | 29.1 |
o1 Advantages
- • Higher benchmark scores (64.8 vs 55.6)
gemini-2.5-flash Advantages
- • Lower input token cost ($0.15 / 1M tokens vs $15 / 1M tokens)
- • Larger context window (1M tokens vs 200K tokens)