QwQ-32B
Reasoning modelQwQ-32B
QwQ-32B is an AI model published by Alibaba, released on 2025-03-06, for Reasoning model, with 32.5B parameters, and 128K context length, requiring about 64GB storage, with a 91.00 score on MATH-500.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | ¥0.0020/ 1K | ¥0.0060/ 1K |
Benchmark Results
QwQ-32B currently shows benchmark results led by AIME 2024 (29 / 62, score 79.50), MMLU Pro (81 / 132, score 76), MATH-500 (33 / 44, score 91). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
2 evaluationsMath and Reasoning
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Publisher
Model Overview
QwQ-32B is an AI model published by Alibaba, released on 2025-03-06, for Reasoning model, with 32.5B parameters, and 128K context length, requiring about 64GB storage, with a 91.00 score on MATH-500.
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