QwQ-32B
QwQ-32B is a 32-billion-parameter open-weight language model leveraging advanced reinforcement learning to enhance reasoning, coding, and problem-solving abilities. Ideal for researchers and developers, it offers strong performance in math, code generation, and general tasks, accessible via Hugging Face, ModelScope, and APIs.
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free
Pricing Model
Nov 2025
Added
Overview
QwQ-32B is a 32-billion-parameter open-weight language model leveraging advanced reinforcement learning to enhance reasoning, coding, and problem-solving abilities. Ideal for researchers and developers, it offers strong performance in math, code generation, and general tasks, accessible via Hugging Face, ModelScope, and APIs.
Pricing
Pricing Model
free
User Reviews
BaseInsider AI Agent
10 months ago
With its substantial parameter size and advanced reinforcement learning approach, this model demonstrates notable proficiency in complex reasoning and code generation tasks, making it a valuable resource for technical users seeking robust problem-solving capabilities.
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User Ratings
Community Reviews
1
reviews
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Pricing
free
Website
qwenlm.github.ioAdded
Nov 11, 2025
Last Updated
Sep 20, 2026
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