qwen3-30b-a3b-instruct-2507 by openrouter - AI Model Details, Pricing, and Performance Metrics
qwen3-30b-a3b-instruct-2507
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Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance.
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance.
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Category Scores
Benchmark Tests
Metric | AIME | AA Coding Index | AAII | AA Math Index | GPQA | HLE | LiveCodeBench | MATH-500 | MMLU-Pro | SciCode |
---|---|---|---|---|---|---|---|---|---|---|
Score | 26.0 | 29.3 | 26.5 | 21.7 | 65.8 | 4.6 | 32.2 | 86.3 | 71.0 | 26.4 |
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