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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 | $2 / 1M tokens | $3 / 1M tokens |
| Output Price | $8 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 1047576 tokens | 200K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 57.5 | 53.8 |
| Academia | 56.6 | 60.5 |
| Finance | 57.1 | 56.4 |
| Marketing | 55.7 | 31.8 |
| Maths | 67.5 | 67.0 |
| Programming | 41.9 | 41.1 |
| Science | 66.5 | 75.4 |
| Vision | 74.8 | 74.4 |
| Writing | 39.5 | 23.8 |
Benchmark Tests | ||
| AIME | 43.7 | 40.7 |
| AA Coding Index | 41.9 | 41.1 |
| AAII | 46.8 | 45.7 |
| AA Math Index | 67.5 | 67.0 |
| GPQA | 66.5 | 75.4 |
| HLE | 4.6 | 4.0 |
| LiveCodeBench | 45.7 | 44.9 |
| MATH-500 | 91.3 | 93.4 |
| MMLU | 90.2 | _ |
| MMLU-Pro | 80.6 | 83.7 |
| MMMU | 74.8 | 74.4 |
| SciCode | 38.1 | 37.3 |
gpt-4.1 Advantages
- • Higher benchmark scores (57.5 vs 53.8)
- • Lower input token cost ($2 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (1047576 tokens vs 200K tokens)
claude-sonnet-4 Advantages