Tencenttext->text

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.).

Context Window

131K

Input Price

$0.1400/M tokens

Output Price

$0.5700/M tokens

Modality

text->text

Pricing Breakdown

Cost per million tokens for input and output

Input$0.1400/M tokens

Output$0.5700/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001970

Context Window Size

Maximum tokens the model can process in a single request

Context Window131K tokens

13% of 1M max

~98K

Words Equivalent

~66

Pages of Text

~1311

Code Functions

Best Use Cases

What this model excels at

CodingProgrammingDevelopmentMathReasoningAnalysis

Related Categories:

Data Analysis

Test Tencent: Hunyuan A13B Instruct Now

Compare this model with others using your own prompts

Similar Models

Z.AI: GLM 4.7 Flash

Z.AI · $0.0700/M tokens

OpenAI: GPT-5.2-Codex

OpenAI · $1.75/M tokens

AllenAI: Olmo 3.1 32B Instruct

Allenai · $0.2000/M tokens

Ready to Test Tencent: Hunyuan A13B Instruct?

Use our free AI Models Tester to compare Tencent: Hunyuan A13B Instruct with other models side-by-side using your own prompts. See real results instantly.