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.
| Provider | Input | Output | 
|---|---|---|
| $0.06 / 1M tokens | $0.24 / 1M tokens | |
| $0.06 / 1M tokens | $0.25 / 1M tokens | 
| Providers | Context | Input Price | Output Price | Input Formats | Output Formats | 
|---|---|---|---|---|---|
| 40960 tokens | $0.06 / 1M tokens | $0.24 / 1M tokens | text  | text  | |
| 40960 tokens | $0.06 / 1M tokens | $0.25 / 1M tokens | text  | text  | 
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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 | 28.0  | 19.8  | 29.2  | 58.0  | 47.0  | 4.2  | 28.0  | 87.1  | 67.5  | 26.5  | 
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