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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gemini-2.5-pro-preview
gemini
Context1M tokens
Input Price$1.25 / 1M tokens
Output Price$10 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1 / 1M tokens | $1.25 / 1M tokens |
| Output Price | $3 / 1M tokens | $10 / 1M tokens |
Capabilities | ||
| Context Window | 131072 tokens | 1M tokens |
| Capabilities | tools | tools |
| Input type | text | text, image, audio, video |
Category Scores | ||
| Overall Average | 56.7 | 84.7 |
| Academia | 63.3 | N/A |
| Finance | 53.8 | N/A |
| Marketing | 57.6 | N/A |
| Maths | 57.3 | N/A |
| Programming | 38.1 | N/A |
| Science | 70.8 | 85.6 |
| Writing | 56.1 | 86.4 |
| Vision | N/A | 82.0 |
Benchmark Tests | ||
| AA Coding Index | 38.1 | _ |
| AAII | 50.4 | _ |
| AA Math Index | 57.3 | _ |
| GPQA | 76.3 | 86.4 |
| HLE | 6.3 | _ |
| HumanEval | 94.5 | _ |
| LiveCodeBench | 61.0 | _ |
| MMLU | 90.2 | _ |
| MMLU-Pro | 82.2 | _ |
| MMMU | _ | 82.0 |
| SciCode | 30.7 | _ |
kimi-k2 Advantages
- • Lower input token cost ($1 / 1M tokens vs $1.25 / 1M tokens)
gemini-2.5-pro-preview Advantages
- • Higher benchmark scores (84.7 vs 56.7)
- • Larger context window (1M tokens vs 131072 tokens)