LightweightTencent

Hunyuan A13B

Hunyuan A13B is Tencent's lightweight text-only model with a 131K token context window, designed for efficient language processing tasks.

Context 131K
Tier Lightweight
Input from
$0.140 / 1M tokens
across 1 provider
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API Pricing

ProviderInput / 1MOutput / 1MUpdated
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OpenRouter
$0.140$0.5704/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
Tencent
Family
Hunyuan
Tier
Lightweight
Context Window
131K
Modalities
Text

Capabilities

Tool Calling
No
Open Source
No

Strengths & Limitations

  • 131K token context window allows processing of long documents
  • Lightweight 13B parameter design for efficient inference
  • Developed by Tencent with focus on Chinese and multilingual capabilities
  • Streamlined architecture optimized for text processing
  • Lower computational requirements compared to larger models
  • Part of established Hunyuan model family with proven track record
  • No tool calling or function execution capabilities
  • Text-only model without image or multimodal input support
  • Proprietary model with weights not publicly available
  • Limited capabilities compared to frontier models in the same family
  • No structured output modes or advanced API features

Key Features

•131,072 token context window
•Text input and output processing
•13 billion parameter architecture
•Streaming response support
•Multilingual text generation
•Document-length text analysis
•Conversational dialogue capabilities
•Chinese language optimization

About Hunyuan A13B

Hunyuan A13B is a lightweight language model developed by Tencent as part of their Hunyuan family. Positioned as an efficient alternative to larger models, this 13 billion parameter model offers a balance between capability and computational efficiency for text-based applications. The model features a 131,072 token context window, enabling it to process substantial amounts of text in a single session. As a text-only model, Hunyuan A13B focuses on natural language understanding and generation without multimodal capabilities. The model does not include tool calling functionality, keeping its architecture streamlined for core language tasks. Hunyuan A13B targets use cases where computational efficiency matters, such as content generation, text analysis, and conversational applications that don't require the full capabilities of frontier models. Its lightweight design makes it suitable for organizations seeking cost-effective language model solutions while maintaining reasonable performance for standard NLP workloads.

Common Use Cases

Hunyuan A13B is well-suited for applications requiring efficient text processing without the overhead of larger models. Its 131K context window makes it effective for document summarization, content analysis, and long-form text generation tasks. The model works well for conversational AI applications, customer service chatbots, and content creation workflows where cost efficiency is important. Organizations processing Chinese language content may find particular value in Tencent's language optimizations. The lightweight design makes it appropriate for high-volume text processing tasks, educational applications, and scenarios where rapid inference speed is prioritized over maximum capability.

Frequently Asked Questions

How much does Hunyuan A13B cost per million tokens?

Hunyuan A13B pricing varies by provider and usage patterns. Check the pricing table above for current rates across all available providers offering this model.

What is Hunyuan A13B best used for?

Hunyuan A13B excels at efficient text processing tasks including document analysis, content generation, and conversational applications. Its 131K context window and lightweight design make it ideal for high-volume text processing, customer service chatbots, and applications where cost efficiency is important while still maintaining good language capabilities.

Does Hunyuan A13B support tool calling or multimodal inputs?

No, Hunyuan A13B is designed as a streamlined text-only model without tool calling functionality or support for images or other modalities. It focuses specifically on natural language understanding and generation tasks for maximum efficiency in text processing workflows.