qwen3-8b by openrouter - AI Model Details, Pricing, and Performance Metrics
qwen3-8b
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Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math, coding, and logical inference, and "non-thinking" mode for general conversation. The model is fine-tuned for instruction-following, agent integration, creative writing, and multilingual use across 100+ languages and dialects. It natively supports a 32K token context window and can extend to 131K tokens with YaRN scaling.
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math, coding, and logical inference, and "non-thinking" mode for general conversation. The model is fine-tuned for instruction-following, agent integration, creative writing, and multilingual use across 100+ languages and dialects. It natively supports a 32K token context window and can extend to 131K tokens with YaRN scaling.
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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 | 24.3 | 18.5 | 22.9 | 24.3 | 45.2 | 2.8 | 20.2 | 82.8 | 64.3 | 16.8 |
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