QwQ 32B Preview
QwQ 32B Preview is Alibaba's early release of a reasoning-focused model that applies extended chain-of-thought techniques to complex problem-solving at the 32B scale. Released as a preview, it is designed to explore and self-question its own reasoning process, often producing longer, more deliberative responses that reflect on intermediate conclusions before committing to a final answer.
The model shows particular strength on logical puzzles, mathematical reasoning, and multi-step inference tasks. As a preview release it may exhibit more exploratory or verbose reasoning traces than polished production models, but its transparent internal reasoning makes it useful for applications where understanding the derivation path matters as much as the answer itself.
Key Features
Extended self-reflective chain-of-thought reasoning
Strong performance on logical and mathematical problem types
Deliberative multi-step inference before committing to conclusions
Transparent reasoning traces useful for auditability
32B parameter scale balancing capability and deployment cost
Multilingual reasoning with strong English and Chinese coverage
Ideal Use Cases
Research tasks requiring traceable multi-step logical derivation
Math competition problem solving with visible working
Complex Q&A where answer confidence and reasoning path are both needed
Evaluating AI reasoning behavior as part of model research
Example Prompts for QwQ 32B Preview
Technical Specifications
| Provider | Alibaba |
| Category | Reasoning |
| Modality | Text -> Text (reasoning) |
Frequently Asked Questions
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