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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-sonnet-4
anthropic
Context200K tokens
Input Price$3 / 1M tokens
Output Price$15 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $15 / 1M tokens | $3 / 1M tokens |
| Output Price | $60 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 200K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 64.8 | 53.5 |
| Academia | 61.8 | 59.9 |
| Finance | 66.0 | 55.7 |
| Marketing | 57.1 | 30.9 |
| Maths | 84.7 | 67.0 |
| Programming | 51.9 | 41.1 |
| Science | 76.4 | 75.4 |
| Vision | 77.6 | 74.4 |
| Writing | 43.0 | 23.7 |
Benchmark Tests | ||
| AIME | 72.3 | 40.7 |
| AA Coding Index | 51.9 | 41.1 |
| AAII | 47.2 | 44.4 |
| AA Math Index | 84.7 | 67.0 |
| GPQA | 76.4 | 75.4 |
| HLE | 7.7 | 4.0 |
| HumanEval | 88.1 | _ |
| LiveCodeBench | 67.9 | 44.9 |
| MATH-500 | 97.0 | 93.4 |
| MMLU | 91.8 | _ |
| MMLU-Pro | 84.1 | 83.7 |
| MMMU | 77.6 | 74.4 |
| SciCode | 35.8 | 37.3 |
o1 Advantages
- • Higher benchmark scores (64.8 vs 53.5)
claude-sonnet-4 Advantages
- • Lower input token cost ($3 / 1M tokens vs $15 / 1M tokens)