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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gemini-2.5-pro
gemini
Context1M tokens
Input Price$1.25 / 1M tokens
Output Price$10 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1.25 / 1M tokens | $0.1 / 1M tokens |
| Output Price | $10 / 1M tokens | $0.1 / 1M tokens |
Capabilities | ||
| Context Window | 1M tokens | 128K tokens |
| Capabilities | tools | tools |
| Input type | text, image, audio, video | text |
Category Scores | ||
| Overall Average | 71.3 | 0.0 |
| Maths | 87.7 | N/A |
| Vision | 79.6 | N/A |
| Finance | 73.7 | N/A |
| Science | 77.9 | N/A |
| Writing | 64.9 | N/A |
| Academia | 71.7 | N/A |
| Marketing | 66.1 | N/A |
| Programming | 49.3 | N/A |
Benchmark Tests | ||
| HLE | 21.1 | _ |
| AIME | 88.7 | _ |
| GPQA | 83.7 | _ |
| MMMU | 79.6 | _ |
| SciCode | 42.8 | _ |
| MATH-500 | 96.7 | _ |
| MMLU-Pro | 86.2 | _ |
| LiveCodeBench | 80.1 | _ |
| AA Math Index | 87.7 | _ |
| AA Coding Index | 49.3 | _ |
| AAII | 59.6 | _ |
gemini-2.5-pro Advantages
- • Higher benchmark scores (71.3 vs 0.0)
- • Larger context window (1M tokens vs 128K tokens)
glm-4-32b Advantages
- • Lower input token cost ($0.1 / 1M tokens vs $1.25 / 1M tokens)