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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
command
openrouter
Context4096 tokens
Input Price$1 / 1M tokens
Output Price$2 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1 / 1M tokens | $2 / 1M tokens |
| Output Price | $2 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 4096 tokens | 1047576 tokens |
| Capabilities | tools | |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 21.5 | 57.5 |
| Academia | 20.1 | 56.6 |
| Finance | 11.1 | 57.1 |
| Marketing | 34.3 | 55.7 |
| Maths | 14.3 | 67.5 |
| Programming | 12.0 | 41.9 |
| Science | 32.3 | 66.5 |
| Writing | 26.8 | 39.5 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 0.7 | 43.7 |
| AA Coding Index | 12.0 | 41.9 |
| AAII | 7.8 | 46.8 |
| AA Math Index | 14.3 | 67.5 |
| GPQA | 32.3 | 66.5 |
| HLE | 4.5 | 4.6 |
| LiveCodeBench | 12.2 | 45.7 |
| MATH-500 | 27.9 | 91.3 |
| MMLU | 75.7 | 90.2 |
| MMLU-Pro | 43.2 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 11.8 | 38.1 |
command Advantages
- • Lower input token cost ($1 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (57.5 vs 21.5)
- • Larger context window (1047576 tokens vs 4096 tokens)