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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-3.7-sonnet
anthropic
Context200K tokens
Input Price$3 / 1M tokens
Output Price$15 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $3 / 1M tokens | $2.5 / 1M tokens |
| Output Price | $15 / 1M tokens | $10 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 128K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 44.4 | 30.6 |
| Academia | 53.4 | 40.7 |
| Finance | 31.1 | 16.5 |
| Marketing | 55.2 | 34.4 |
| Maths | 21.0 | 6.0 |
| Programming | 32.3 | 24.0 |
| Science | 64.6 | 56.6 |
| Writing | 53.5 | 35.8 |
Benchmark Tests | ||
| AIME | 22.3 | 15.0 |
| AA Coding Index | 32.3 | 24.0 |
| AAII | 41.1 | 27.0 |
| AA Math Index | 21.0 | 6.0 |
| GPQA | 65.6 | 54.3 |
| HLE | 4.8 | 3.3 |
| LiveCodeBench | 39.4 | 30.9 |
| MATH-500 | 85.0 | 75.9 |
| MMLU-Pro | 80.3 | 74.8 |
| SciCode | 37.6 | 33.3 |
claude-3.7-sonnet Advantages
- • Higher benchmark scores (44.4 vs 30.6)
- • Larger context window (200K tokens vs 128K tokens)
gpt-4o Advantages
- • Lower input token cost ($2.5 / 1M tokens vs $3 / 1M tokens)