Qwen2.5-32B
Qwen2.5-32B is an AI model published by Alibaba, released on 2024-09-18, for Foundation model, with 32B parameters, and 128K context length, requiring about 64GB storage, with a 95.90 score on GSM8K.
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
Qwen2.5-32B currently shows benchmark results led by GSM8K (5 / 26, score 95.90), MATH (10 / 42, score 83.10), MBPP (8 / 28, score 84). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
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Model Overview
Qwen2.5-32B is an AI model published by Alibaba, released on 2024-09-18, for Foundation model, with 32B parameters, and 128K context length, requiring about 64GB storage, with a 95.90 score on GSM8K.
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