QwQ-32B-Preview
Reasoning modelQwQ-32B-Preview
QwQ-32B-Preview is an AI model published by Alibaba, released on 2024-11-28, for Reasoning model, with 32B parameters, and 32K context length, requiring about 64GB storage, with a 90.60 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 |
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | ¥0.0010/ 1K | ¥0.0030/ 1K |
Benchmark Results
QwQ-32B-Preview currently shows benchmark results led by MMLU Pro (92 / 132, score 70.97), AIME 2024 (46 / 62, score 50), MATH-500 (35 / 44, score 90.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Math and Reasoning
2 evaluationsCompare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
QwQ-32B-Preview is an AI model published by Alibaba, released on 2024-11-28, for Reasoning model, with 32B parameters, and 32K context length, requiring about 64GB storage, with a 90.60 score on MATH-500.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
