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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.
Price/1M
$0.10
232nd cheapest
66% below median
Top 35%
Context Window
41K
285th largest
Top 82%
Input
$0.06
per 1M tokens
Output
$0.24
per 1M tokens
Blended
$0.10
per 1M tokens
Cheaper than 65% of models. Median price is $0.31/1M tokens.
Daily
$0.10
Monthly
$3.15
Context Window
41K
tokens
Larger than 18% of models
Max Output
41K
tokens
100% of context
Context Window Comparison
2.8M
381
16-24 GB
RTX 4090 / M2 Max