# Qwen2.5 32B Instruct

Qwen2.5 32B Instruct is the instruction-tuned variant of the latest Qwen large language model series. It provides enhanced instruction-following capabilities, improved proficiency in coding and mathematical reasoning, and robust handling of structured data and outputs such as JSON. It supports long-context processing up to 128K tokens and multilingual tasks across 29+ languages. The model has 32.5 billion parameters, 64 layers, and utilizes an advanced transformer architecture with RoPE, SwiGLU, RMSNorm, and Attention QKV bias.

For more details, please refer to the [Qwen2.5 Blog](https://qwenlm.github.io/blog/qwen2.5/) .

## Model Information

- **Organization**: [qwen](/llm.txt)
- **Slug**: qwen-2-5-32b-instruct
- **Available at Providers**: 10
- **Release Date**: September 19, 2024

### Benchmark Scores
- GPQA: 0.495

## Providers

| Provider | Name | $ Input (per 1M) | $ Output (per 1M) | Free | Link |
|----------|------|-----------------|------------------|------|------|
| [AIHubMix](/llm/aihubmix.txt) | qwen2.5-32b-instruct | 0.60 | 1.20 |  | [View](https://aihubmix.com/model/qwen2.5-32b-instruct) |
| [AIHubMix](/llm/aihubmix.txt) | Qwen2.5-32B-Instruct | 0.60 | 0.60 |  | [View](https://aihubmix.com/model/Qwen/Qwen2.5-32B-Instruct) |
| [Alibaba](/llm/alibaba.txt) | Qwen2.5 32B Instruct | 0.70 | 2.80 |  |  |
| [Alibaba (China)](/llm/alibabacn.txt) | Qwen2.5 32B Instruct | 0.29 | 0.86 |  |  |
| [SiliconFlow (China)](/llm/siliconflowcn.txt) | Qwen/Qwen2.5-32B-Instruct | 0.18 | 0.18 |  |  |
| [SiliconFlow](/llm/siliconflow.txt) | Qwen2.5-32B-Instruct | 0.18 | 0.18 |  | [View](https://www.siliconflow.com./models/qwen2-5-32b-instruct) |
| [Together AI](/llm/togetherai.txt) | Qwen2.5 32B Instruct | 0.00 | 0.00 |  |  |
| [CometAPI](/llm/cometapi.txt) |  | 0.96 | 0.96 |  |  |
| [ApiYI](/llm/apiyi.txt) | qwen2.5-32b-instruct |  |  |  |  |
| [Writingmate](/llm/writingmate.txt) | Qwen: Qwen2.5 32B Instruct |  |  |  | [View](https://writingmate.ai/models/qwen/qwen2.5-32b-instruct) |

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[← Back to all providers](/llm.txt)