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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 | $0.15 / 1M tokens | $2 / 1M tokens |
| Output Price | $0.6 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 1M tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text, image, audio, video | text, image |
Category Scores | ||
| Overall Average | 53.8 | 48.4 |
| Maths | 60.3 | 34.7 |
| Vision | 79.7 | 74.8 |
| Finance | 40.4 | 30.1 |
| Science | 74.1 | 66.1 |
| Writing | 54.4 | 56.6 |
| Academia | 51.6 | 46.0 |
| Marketing | 51.9 | 57.2 |
| Programming | 17.8 | 21.8 |
Benchmark Tests | ||
| HLE | 5.1 | 4.6 |
| AIME | 50.0 | 43.7 |
| GPQA | 82.8 | 66.5 |
| MMLU | _ | 90.2 |
| MMMU | 79.7 | 74.8 |
| SciCode | 29.1 | 38.1 |
| MATH-500 | 93.2 | 91.3 |
| MMLU-Pro | 80.9 | 80.6 |
| LiveCodeBench | 49.5 | 45.7 |
| AA Math Index | 60.3 | 34.7 |
| AA Coding Index | 17.8 | 21.8 |
| AAII | 20.5 | 25.6 |
gemini-2.5-flash Advantages
- • Higher benchmark scores (53.8 vs 48.4)
- • Lower input token cost ($0.15 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Larger context window (1047576 tokens vs 1M tokens)