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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
qwen3-coder
deepinfra
Context262144 tokens
Input Price$0.3 / 1M tokens
Output Price$1.2 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.3 / 1M tokens | $2 / 1M tokens |
| Output Price | $1.2 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 262144 tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 47.7 | 52.2 |
| Academia | 52.0 | 54.9 |
| Finance | 40.8 | 39.0 |
| Marketing | 51.9 | 59.0 |
| Maths | 39.3 | 34.7 |
| Programming | 37.4 | 32.2 |
| Science | 62.0 | 66.1 |
| Writing | 50.1 | 56.6 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 47.7 | 43.7 |
| AA Coding Index | 37.4 | 32.2 |
| AAII | 42.3 | 43.4 |
| AA Math Index | 39.3 | 34.7 |
| GPQA | 61.8 | 66.5 |
| HLE | 4.4 | 4.6 |
| LiveCodeBench | 58.5 | 45.7 |
| MATH-500 | 94.2 | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | 78.8 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 35.9 | 38.1 |
qwen3-coder Advantages
- • Lower input token cost ($0.3 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (52.2 vs 47.7)
- • Larger context window (1047576 tokens vs 262144 tokens)