Tencent: Hunyuan A13B Instruct
Tencent Hunyuan A13B Instruct has no benchmark data available, and without measurable performance evidence it cannot be assessed for business suitability. Its pricing is competitive, but businesses should look for models with verified capability data.
Assessment date: March 14, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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.).
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 13B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.14 | $0.000140 |
| Output | $0.57 | $0.000570 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
