Tencent: Hunyuan A13B Instruct

by Tencent open-weight intelligent

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... 80B total parameters with 13B active (Mixture-of-Experts) Built-in Chain-of-Thought reasoning support Competitive benchmark performance for its size class Budget pricing at $0.14/$0.57 per 1M tokens Tencent-backed model with strong Chinese language support Lower active parameters (13B) limits peak reasoning depth Smaller ecosystem and community vs Qwen/DeepSeek alternatives Limited English-centric benchmarks available Cost-sensitive Chinese-language applications General reasoning with Chain-of-Thought Open-weight deployment and fine-tuning Enterprise use cases in Tencent ecosystem

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Specifications

Specifications for Hunyuan A13B Instruct
LabTencent
Context window131,072
Input price $0.14/1M
Output price $0.57/1M
Release2025-07-01 00:00:00

Strengths

  • 80B total parameters with 13B active (Mixture-of-Experts)
  • Built-in Chain-of-Thought reasoning support
  • Competitive benchmark performance for its size class
  • Budget pricing at $0.14/$0.57 per 1M tokens
  • Tencent-backed model with strong Chinese language support

Weaknesses

  • Lower active parameters (13B) limits peak reasoning depth
  • Smaller ecosystem and community vs Qwen/DeepSeek alternatives
  • Limited English-centric benchmarks available

Best for

  • Cost-sensitive Chinese-language applications
  • General reasoning with Chain-of-Thought
  • Open-weight deployment and fine-tuning
  • Enterprise use cases in Tencent ecosystem

In Depth: Hunyuan A13B Instruct

Summary

Hunyuan A13B Instruct is an AI model from Tencent.

Released 2025-07-01 00:00:00. It currently appears in the Overall category on LMRank. It supports Text input and produces Text output, with a context window of 131.1K tokens. Input pricing is $0.14 per 1M tokens and output is $0.57 per 1M tokens on OpenRouter.

Sources & Further Reading

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