qwen3-14b by deepinfra - AI Model Details, Pricing, and Performance Metrics
qwen3-14b
completionsQwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, programming, and logical inference, and a "non-thinking" mode for general-purpose conversation. The model is fine-tuned for instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, programming, and logical inference, and a "non-thinking" mode for general-purpose conversation. The model is fine-tuned for instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.
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Category Scores
Benchmark Tests
| Metric | HLE | AIME | GPQA | SciCode | MATH-500 | MMLU-Pro | LiveCodeBench | AA Math Index | AA Coding Index | AAII |
|---|---|---|---|---|---|---|---|---|---|---|
| Score | 4.3 | 76.3 | 60.4 | 31.6 | 96.1 | 77.4 | 52.3 | 55.7 | 29.1 | 36.0 |
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