# tencent/Hunyuan-A13B-Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark performance across mathematics, science, coding, and multi-turn reasoning tasks, while maintaining high inference efficiency via Grouped Query Attention (GQA) and quantization support (FP8, GPTQ, etc.).

## Model Information

- **Organization**: [SiliconFlow](/llm.txt)
- **Slug**: hunyuan-a13b-instruct
- **Available at Providers**: 11
- **Release Date**: July 8, 2025

## Providers

| Provider | Name | $ Input (per 1M) | $ Output (per 1M) | Free | Link |
|----------|------|-----------------|------------------|------|------|
| [AIHubMix](/llm/aihubmix.txt) | Hunyuan-A13B-Instruct | 0.14 | 0.56 |  | [View](https://aihubmix.com/model/tencent/Hunyuan-A13B-Instruct) |
| [SiliconFlow (China)](/llm/siliconflowcn.txt) | tencent/Hunyuan-A13B-Instruct | 0.14 | 0.57 |  |  |
| [SiliconFlow](/llm/siliconflow.txt) | Hunyuan-A13B-Instruct | 0.14 | 0.57 |  | [View](https://www.siliconflow.com./models/hunyuan-a13b-instruct) |
| [OpenRouter](/llm/openrouter.txt) | Hunyuan A13B Instruct | 0.14 | 0.57 |  | [View](https://openrouter.ai/tencent/hunyuan-a13b-instruct) |
| [ValorGPT](/llm/valorgpt.txt) | TE |  |  |  | [View](https://www.valorgpt.com/models/tencent-hunyuan-a13b-instruct) |
| [Yupp](/llm/yupp.txt) | Hunyuan A13B Instruct (OpenRouter) |  |  |  |  |
| [LangDB](/llm/langdb.txt) | hunyuan-a13b-instruct |  |  |  | [View](https://langdb.ai/app/models) |
| [Kilo Code](/llm/kilocode.txt) | Tencent: Hunyuan A13B Instruct | 0.14 | 0.57 |  |  |
| [Blackbox AI](/llm/blackboxai.txt) | blackboxai/tencent/hunyuan-a13b-instruct |  |  |  |  |
| [WaveSpeed AI](/llm/wavespeed.txt) | hunyuan-a13b-instruct | 0.15 | 0.63 |  |  |
| [Writingmate](/llm/writingmate.txt) | Tencent: Hunyuan A13B Instruct |  |  |  | [View](https://writingmate.ai/models/tencent/hunyuan-a13b-instruct) |

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[← Back to all providers](/llm.txt)