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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-3.5-haiku
anthropic
Context200K tokens
Input Price$0.8 / 1M tokens
Output Price$4 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.8 / 1M tokens | $2 / 1M tokens |
| Output Price | $4 / 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 | 43.0 | 52.2 |
| Academia | 30.7 | 54.9 |
| Marketing | 50.3 | 59.0 |
| Science | 46.0 | 66.1 |
| Writing | 45.2 | 56.6 |
| Finance | N/A | 39.0 |
| Maths | N/A | 34.7 |
| Programming | N/A | 32.2 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 3.3 | 43.7 |
| AA Coding Index | _ | 32.2 |
| AAII | 20.2 | 43.4 |
| AA Math Index | _ | 34.7 |
| DROP | 83.1 | _ |
| GPQA | 41.2 | 66.5 |
| HLE | 3.5 | 4.6 |
| HumanEval | 88.1 | _ |
| LiveCodeBench | 31.4 | 45.7 |
| MATH-500 | 72.1 | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | 64.2 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 27.4 | 38.1 |
claude-3.5-haiku Advantages
- • Lower input token cost ($0.8 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (52.2 vs 43.0)
- • Larger context window (1047576 tokens vs 200K tokens)