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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-haiku-4.5
anthropic
Context200K tokens
Input Price$1 / 1M tokens
Output Price$5 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1 / 1M tokens | $2 / 1M tokens |
| Output Price | $5 / 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 | 47.0 | 48.4 |
| Maths | 39.0 | 34.7 |
| Finance | 35.0 | 30.1 |
| Science | 68.1 | 66.1 |
| Writing | 52.8 | 56.6 |
| Academia | 52.0 | 46.0 |
| Marketing | 52.5 | 57.2 |
| Programming | 29.6 | 21.8 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| HLE | 4.3 | 4.6 |
| AIME | _ | 43.7 |
| GPQA | 73.0 | 66.5 |
| MMLU | _ | 90.2 |
| MMMU | _ | 74.8 |
| SciCode | 34.4 | 38.1 |
| MATH-500 | _ | 91.3 |
| MMLU-Pro | 80.0 | 80.6 |
| LiveCodeBench | 51.1 | 45.7 |
| AA Math Index | 39.0 | 34.7 |
| AA Coding Index | 29.6 | 21.8 |
| AAII | 31.0 | 25.6 |
claude-haiku-4.5 Advantages
- • Lower input token cost ($1 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (48.4 vs 47.0)
- • Larger context window (1047576 tokens vs 200K tokens)