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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gpt-5-nano
openai
Context400K tokens
Input Price$0.05 / 1M tokens
Output Price$0.4 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.05 / 1M tokens | $3 / 1M tokens |
| Output Price | $0.4 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 400K tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 62.3 | 74.3 |
| Academia | 59.3 | 76.4 |
| Finance | 67.3 | 79.0 |
| Marketing | 60.8 | 69.1 |
| Maths | 83.7 | 92.7 |
| Programming | 42.3 | 55.1 |
| Science | 65.0 | 80.1 |
| Writing | 57.8 | 67.6 |
Benchmark Tests | ||
| AIME | _ | 94.3 |
| AA Coding Index | 42.3 | 55.1 |
| AAII | 51.0 | 65.3 |
| AA Math Index | 83.7 | 92.7 |
| GPQA | 67.6 | 87.6 |
| HLE | 8.2 | 23.9 |
| LiveCodeBench | 78.9 | 81.9 |
| MATH-500 | _ | 99.0 |
| MMLU-Pro | 78.0 | 86.6 |
| SciCode | 36.6 | 45.7 |
gpt-5-nano Advantages
- • Lower input token cost ($0.05 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (400K tokens vs 256K tokens)
grok-4 Advantages
- • Higher benchmark scores (74.3 vs 62.3)