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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gpt-4.1-mini
openai
Context1047576 tokens
Input Price$0.4 / 1M tokens
Output Price$1.6 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.4 / 1M tokens | $3 / 1M tokens |
| Output Price | $1.6 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 1047576 tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 70.8 | 74.3 |
| Science | 74.6 | 80.1 |
| Vision | 72.7 | N/A |
| Writing | 65.0 | 67.6 |
| Academia | N/A | 76.4 |
| Finance | N/A | 79.0 |
| Marketing | N/A | 69.1 |
| Maths | N/A | 92.7 |
| Programming | N/A | 55.1 |
Benchmark Tests | ||
| AIME | _ | 94.3 |
| AA Coding Index | _ | 55.1 |
| AAII | _ | 65.3 |
| AA Math Index | _ | 92.7 |
| GPQA | 65.0 | 87.6 |
| HLE | _ | 23.9 |
| LiveCodeBench | _ | 81.9 |
| MATH-500 | _ | 99.0 |
| MMLU | 87.5 | _ |
| MMLU-Pro | _ | 86.6 |
| MMMU | 72.7 | _ |
| SciCode | _ | 45.7 |
gpt-4.1-mini Advantages
- • Lower input token cost ($0.4 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (1047576 tokens vs 256K tokens)
grok-4 Advantages
- • Higher benchmark scores (74.3 vs 70.8)