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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-3-5-sonnet-20240620
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 / 1M tokens |
| Output Price | $15 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 45.3 | 57.5 |
| Academia | 46.6 | 56.6 |
| Finance | 40.0 | 57.1 |
| Marketing | 50.3 | 55.7 |
| Maths | 46.4 | 67.5 |
| Programming | 37.3 | 41.9 |
| Science | 59.7 | 66.5 |
| Writing | 36.8 | 39.5 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 15.7 | 43.7 |
| AA Coding Index | 37.3 | 41.9 |
| AAII | 33.5 | 46.8 |
| AA Math Index | 46.4 | 67.5 |
| DROP | 87.1 | _ |
| GPQA | 59.7 | 66.5 |
| HLE | 3.9 | 4.6 |
| HumanEval | 92.0 | _ |
| LiveCodeBench | 38.1 | 45.7 |
| MATH-500 | 77.1 | 91.3 |
| MMLU | 90.4 | 90.2 |
| MMLU-Pro | 76.6 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 36.6 | 38.1 |
claude-3-5-sonnet-20240620 Advantages
gpt-4.1 Advantages
- • Higher benchmark scores (57.5 vs 45.3)
- • Lower input token cost ($2 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (1047576 tokens vs 200K tokens)