QwQ is a reasoning model trained from Qwen2.5-32B, with significantly enhanced reasoning capabilities through reinforcement learning. Its core metrics (AIME 24/25, LiveCodeBench) and some general metrics (IFEval, LiveBench, etc.) match DeepSeek-R1 full version levels and significantly outperform DeepSeek-R1-Distill-Qwen-32B, which is also based on Qwen2.5-32B. Usage \| API reference **Note** Only the Chinese mainland service deployment scope is supported. Data storage is in the **Beijing access region**. Model inference compute resources are limited to the Chinese mainland.
https://dashscope-intl.aliyuncs.com/compatible-mode/chat| Model | Context | Max out | Pricing |
|---|---|---|---|
| qwq-32b-preview | 33K | 16K | $0.29$0.86 |
| qwq-32b | 131K | 33K | $0.29$0.86 |
| qwq-plus | 128K | 33K | $0.8$2.4 |
/v1/models/qwen/qwq-32bQwQ is a reasoning model trained from Qwen2.5-32B, with significantly enhanced reasoning capabilities through reinforcement learning. Its core metrics (AIME 24/25, LiveCodeBench) and some general metrics (IFEval, LiveBench, etc.) match DeepSeek-R1 full version levels and significantly outperform DeepSeek-R1-Distill-Qwen-32B, which is also based on Qwen2.5-32B. Usage \| API reference **Note** Only the Chinese mainland service deployment scope is supported. Data storage is in the **Beijing access region**. Model inference compute resources are limited to the Chinese mainland.