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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
qwen3-max
openrouter
Context256K tokens
Input Price$1.2 / 1M tokens
Output Price$6 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1.2 / 1M tokens | $2 / 1M tokens |
| Output Price | $6 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 256K tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 63.6 | 52.2 |
| Academia | 65.8 | 54.9 |
| Finance | 67.9 | 39.0 |
| Marketing | 57.6 | 59.0 |
| Maths | 80.7 | 34.7 |
| Programming | 44.7 | 32.2 |
| Science | 72.1 | 66.1 |
| Writing | 56.3 | 56.6 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | _ | 43.7 |
| AA Coding Index | 44.7 | 32.2 |
| AAII | 55.1 | 43.4 |
| AA Math Index | 80.7 | 34.7 |
| GPQA | 76.4 | 66.5 |
| HLE | 11.1 | 4.6 |
| LiveCodeBench | 76.7 | 45.7 |
| MATH-500 | _ | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | 84.1 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 38.3 | 38.1 |
qwen3-max Advantages
- • Higher benchmark scores (63.6 vs 52.2)
- • Lower input token cost ($1.2 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Larger context window (1047576 tokens vs 256K tokens)