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 tokens | ¥0.0060/ 1K tokens |
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | ¥0.0010/ 1K tokens | ¥0.0030/ 1K tokens |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
QwQ-32B-Preview currently shows benchmark results led by MMLU Pro (93 / 134, score 70.97), AIME 2024 (46 / 62, score 50), MATH-500 (36 / 45, 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 evaluationsPublisher
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.
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