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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
qwen3-30b-a3b-instruct-2507
openrouter
Context131072 tokens
Input Price$0.2 / 1M tokens
Output Price$0.8 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.2 / 1M tokens | $2 / 1M tokens |
| Output Price | $0.8 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 131072 tokens | 1047576 tokens |
| Capabilities | tools | |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 39.7 | 56.8 |
| Academia | 46.1 | 54.9 |
| Finance | 41.3 | 55.5 |
| Marketing | 19.2 | 54.4 |
| Maths | 56.1 | 67.5 |
| Programming | 29.3 | 41.9 |
| Science | 65.8 | 66.5 |
| Writing | 19.8 | 39.2 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 26.0 | 43.7 |
| AA Coding Index | 29.3 | 41.9 |
| AAII | 26.5 | 43.4 |
| AA Math Index | 56.1 | 67.5 |
| GPQA | 65.8 | 66.5 |
| HLE | 4.6 | 4.6 |
| LiveCodeBench | 32.2 | 45.7 |
| MATH-500 | 86.3 | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | 71.0 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 26.4 | 38.1 |
qwen3-30b-a3b-instruct-2507 Advantages
- • Lower input token cost ($0.2 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (56.8 vs 39.7)
- • Larger context window (1047576 tokens vs 131072 tokens)