Hunyuan A13B Instruct
Output withheld for safety.
Tencent
Hunyuan A13B Instruct separates fast and slow thinking in a sparse 80-billion-parameter model with about 13 billion active per token. Fine-grained mixture-of-experts routing and grouped-query attention keep active compute limited. For agents, the model card documents a specialized vLLM parser for tool calls and internal reasoning steps.
The official model card shows a 32,768-token default configuration. Tencent publishes the weights and documents deployment through vLLM, SGLang, and TensorRT-LLM.
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | API, LocalSource |
| Parameters | 80BSource |
| Active parameters | 13BSource |
| Context window | 262,144 tokensSource |
| License | Tencent Hunyuan A13B licenseSource |
| Release | 2025-06-27 (Tencent Cloud's hosted hunyuan-a13b API launch is dated 2025-06-25; this record tracks the exact open-weight checkpoint release instead.)Source |
| Parameters | 80 BSource |
| Active parameters | 13 BSource |
| Architecture | fine-grained sparse MoE with GQA; hybrid fast and slow thinking modesSource |
| Default context window | 32,768 tokensSource |
| Input | TextSource |
| Output | TextSource |
| Reasoning mode | hybrid slow-thinking and fast-thinking modesSource |
| Tool calling | YesSource |
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These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
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One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Output withheld for safety.
A community classic for free-form SVG drawing.
Hunyuan A13B Instruct
Output withheld for safety
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)35.4 / 100
| Type | Evidence and data date |
|---|---|
| Price | Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. |
| Input | Documented modalities. Retrieved September 8, 2026. |
| Output | Documented modalities. Retrieved September 8, 2026. |
| Research status | Research date September 8, 2026. 4 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | knowledge-cutoff Original wording The exact Hunyuan-A13B-Instruct card does not publish a training-data cutoff. |
| Unresolved | AA benchmark rows Original wording No exact Artificial Analysis model page located in the checked public sitemap. |
| Additional source | Model metadata (retrieved September 8, 2026) · Tencent Hunyuan A13B repository · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |