Tencent: Hunyuan A13B Instruct
Tencent: Hunyuan A13B Instruct is a text-in, text-out model with a 131,072-token context window that matches its maximum output length, making it suitable for long-document tasks. It supports reasoning and accepts tool-free workflows, while structured output support is unconfirmed. It accepts only text, so image or multimodal tasks are out of scope. At $0.14 per million input tokens and $0.57 per million output tokens, the pricing sits at the budget end of reasoning-capable models, which may appeal to teams running high-volume, text-heavy workloads where cost control matters. The catch is that there is currently no independent benchmark coverage, so performance claims cannot be verified against public standards. Buyers who need validated quality scores before committing should wait for third-party evaluations; those willing to run their own internal evals may find the price worth testing.
- Model ID
- tencent/hunyuan-a13b-instruct
- Vendor
- tencent
- Released
- July 2025
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 131,072 tokens
- Tool Calling
- not supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.14/M input and $0.57/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.10 |
| A month of a busy support chatbot | 5M in / 2M out | $1.84 |
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Quick answers
- How much does Tencent: Hunyuan A13B Instruct cost?
- $0.14 per million input tokens and $0.57 per million output tokens.
- What is Tencent: Hunyuan A13B Instruct's context window?
- 131,072 tokens, roughly 196 pages of text in a single request.
- Does Tencent: Hunyuan A13B Instruct support tool calling?
- It supports structured output, a reasoning mode.
- Can Tencent: Hunyuan A13B Instruct process images?
- No, it is text-only on the input side.