Tencent: Hunyuan A13B Instruct✓ Catalog verified
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.).
Overview
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.).
Access: available through the official Tencent API. Context window: 131K.
Specifications
| API identifier | tencent/hunyuan-a13b-instruct |
| Provider | Tencent |
| Model type | Text LLM |
| Context window | 131K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Jul 8, 2025 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for tencent/hunyuan-a13b-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1.4e-7 | $0.14 / 1M | Per input token |
| Completion tokens | $5.7e-7 | $0.57 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.18Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Tencent: Hunyuan A13B Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="tencent/hunyuan-a13b-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Tencent: Hunyuan A13B Instruct cost?
$0.14 per 1M input tokens and $0.57 per 1M output tokens on the official Tencent API.
What is the context window of Tencent: Hunyuan A13B Instruct?
Tencent: Hunyuan A13B Instruct supports up to 131K tokens of context.
Does Tencent: Hunyuan A13B Instruct support tool / function calling?
Tencent: Hunyuan A13B Instruct does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Tencent: Hunyuan A13B Instruct?
Use the official Tencent API with the model id `tencent/hunyuan-a13b-instruct`. See the Quick start section above for code examples.