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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 | $20 / 1M tokens | $0.15 / 1M tokens |
| Output Price | $80 / 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 | 75.4 | 55.6 |
| Academia | 74.9 | 61.6 |
| Marketing | 65.3 | 28.6 |
| Science | 84.5 | 82.8 |
| Writing | 76.8 | 25.3 |
| Finance | N/A | 56.0 |
| Maths | N/A | 71.6 |
| Programming | N/A | 39.3 |
| Vision | N/A | 79.7 |
Benchmark Tests | ||
| AIME | _ | 50.0 |
| AA Coding Index | _ | 39.3 |
| AAII | 65.3 | 40.4 |
| AA Math Index | _ | 71.6 |
| GPQA | 84.5 | 82.8 |
| HLE | _ | 5.1 |
| LiveCodeBench | _ | 49.5 |
| MATH-500 | _ | 93.2 |
| MMLU-Pro | _ | 80.9 |
| MMMU | _ | 79.7 |
| SciCode | _ | 29.1 |
o3-pro Advantages
- • Higher benchmark scores (75.4 vs 55.6)
gemini-2.5-flash Advantages
- • Lower input token cost ($0.15 / 1M tokens vs $20 / 1M tokens)
- • Larger context window (1M tokens vs 200K tokens)