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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 | $2.5 / 1M tokens | $0.15 / 1M tokens |
| Output Price | $10 / 1M tokens | $0.6 / 1M tokens |
Capabilities | ||
| Context Window | 128K tokens | 1M tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image, audio, video |
Category Scores | ||
| Overall Average | 31.7 | 59.2 |
| Academia | 40.7 | 61.6 |
| Finance | 16.5 | 50.3 |
| Marketing | 34.4 | 53.9 |
| Maths | 6.0 | 60.3 |
| Programming | 32.1 | 39.3 |
| Science | 56.6 | 74.1 |
| Writing | 35.8 | 54.4 |
| Vision | N/A | 79.7 |
Benchmark Tests | ||
| AIME | 15.0 | 50.0 |
| AA Coding Index | 32.1 | 39.3 |
| AAII | 27.0 | 40.4 |
| AA Math Index | 6.0 | 60.3 |
| GPQA | 54.3 | 82.8 |
| HLE | 3.3 | 5.1 |
| LiveCodeBench | 30.9 | 49.5 |
| MATH-500 | 75.9 | 93.2 |
| MMLU-Pro | 74.8 | 80.9 |
| MMMU | _ | 79.7 |
| SciCode | 33.3 | 29.1 |
gpt-4o Advantages
gemini-2.5-flash Advantages
- • Higher benchmark scores (59.2 vs 31.7)
- • Lower input token cost ($0.15 / 1M tokens vs $2.5 / 1M tokens)
- • Larger context window (1M tokens vs 128K tokens)