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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 | $1.25 / 1M tokens | $0.15 / 1M tokens |
| Output Price | $10 / 1M tokens | $0.6 / 1M tokens |
Capabilities | ||
| Context Window | 400K tokens | 1M tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image, audio, video |
Category Scores | ||
| Overall Average | 71.0 | 57.2 |
| Academia | 77.2 | 65.0 |
| Finance | 83.3 | 59.5 |
| Marketing | 54.8 | 33.2 |
| Maths | 97.5 | 71.6 |
| Programming | 54.9 | 39.3 |
| Science | 85.4 | 82.8 |
| Writing | 43.9 | 26.3 |
| Vision | N/A | 79.7 |
Benchmark Tests | ||
| AIME | 95.7 | 50.0 |
| AA Coding Index | 54.9 | 39.3 |
| AAII | 69.0 | 47.3 |
| AA Math Index | 97.5 | 71.6 |
| GPQA | 85.4 | 82.8 |
| HLE | 26.5 | 5.1 |
| LiveCodeBench | 66.8 | 49.5 |
| MATH-500 | 99.4 | 93.2 |
| MMLU-Pro | 87.1 | 80.9 |
| MMMU | _ | 79.7 |
| SciCode | 42.9 | 29.1 |
gpt-5 Advantages
- • Higher benchmark scores (71.0 vs 57.2)
gemini-2.5-flash Advantages
- • Lower input token cost ($0.15 / 1M tokens vs $1.25 / 1M tokens)
- • Larger context window (1M tokens vs 400K tokens)