Qwen3-14B
14.7B-parameter hybrid reasoning model from the Qwen3 family.
About
Qwen3-14B is the mid-scale dense model in Alibaba's Qwen3 series, trained on 36 trillion tokens across 119 languages and dialects. It supports a hybrid reasoning mode that can be toggled between rapid responses and step-by-step thinking through the tokenizer, making it flexible for both latency-sensitive and depth-sensitive workloads.
The model was trained with a four-stage pipeline including long chain-of-thought cold start, reinforcement learning, and thinking-mode fusion. Released under Apache 2.0, it supports a 32K native context window with extension to 128K via YaRN.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 134; Trending score 88/100 from researcher assessment.
More in the qwen3 family
- Qwen3-32B-AWQ
- Qwen3-Next-80B-A3B
- Qwen3-235B-A22B
- Qwen3-235B-A22B-2507
- Qwen3-4B-Instruct-2507
- Qwen3-8B
- Qwen3.5
- Qwen3-235B-A22B-Instruct-2507
- Qwen3 235B
- Qwen3-235B-A22B-Thinking-2507
- Qwen3-Omni-Flash
- Qwen3.6-27B
- Qwen3-32B
- Qwen3-Max
- Qwen3.8-Flash-Next
- Qwen3-Coder-Plus
- Qwen3
- Qwen3-0.6B
- Qwen3-4B
- Qwen3-Coder-Next
- Qwen3-4B-2507
- Qwen3-VL-30B-A3B
- Qwen3-1.7B
- Qwen3-Omni-30B-A3B