Hunyuan Models by Tencent AI Lab
Last refreshed 2026-08-31. Next refresh: weekly.
Details
Capabilities
About
The Hunyuan large language model (LLM) family, developed by Tencent, is renowned for its resource-efficient design and high performance, utilizing Mixture of Experts (MoE) architectures to activate specialized sub-models dynamically for diverse tasks. Its flagship model, Hunyuan-Large (Hunyuan-MoE-A52B), stands out with 389 billion parameters, of which 52 billion are activated, making it a leading open-source Transformer-based MoE model. It excels in various areas, including language understanding, generation, reasoning, and problem-solving. Tencent offers several tailored versions of Hunyuan-Large, such as instruction-tuned models and those optimized for tasks like text-to-image generation (Hunyuan-DiT). These models are accessible via APIs on Tencent Cloud and Hugging Face, supporting extensive AI community research and application 1513.
Decision facts
- Best fit
- agenticagentcoding
- Capability starting point
- Hunyuan Hy4 Preview with 1.05m context and reasoning and JSON / Tool use
- Lowest tracked input
- Hunyuan Hy3 Preview · $0.066/1M · OpenRouter
- Closest related family
- Hunyuan Image
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs agentic, 1.05m context, and reasoning.
Use when the workload needs agentic, 262k context, and 295B parameters.
Use when the workload needs 131k context and 13B parameters.
Use when the workload needs 256k context, 52B parameters, and reasoning.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Hunyuan Hy4 Preview | Use when the workload needs agentic, 1.05m context, and reasoning. | 2026-08 | agentic1.05m contextreasoning | Current |
| Hunyuan Hy3 Preview | Use when the workload needs agentic, 262k context, and 295B parameters. | 2026-04 | agentic262k context295B parameters | Current |
| Tencent Hunyuan Turbo S | Use when the workload needs 200k context. | 2026-01 | 200k context | Current |
| Tencent Hunyuan A13B Instruct | Use when the workload needs 131k context and 13B parameters. | 2025-11 | 131k context13B parameters | Current |
| Tencent Hunyuan 2.0 Think | Use when the workload needs 131k context. | 2025-09 | 131k context | Current |
| Tencent Hunyuan 2.0 Instruct | Use when the workload needs 131k context. | 2025-06 | 131k context | Current |
| Tencent Hunyuan T1 | Use when the workload needs 256k context, 52B parameters, and reasoning. | 2025-03 | 256k context52B parametersreasoning | Current |
| Hunyuan Large | Use when the workload needs 128k context and china. | 2024-11 | 128k contextchina | Current |
Release Timeline
8 release groupsSpecifications(8 models)
| Model | Released | Context | Parameters | Reasoning | JSON / Tool use |
|---|---|---|---|---|---|
| Hunyuan Hy4 Preview | 2026-08 | 1.05m | 770B (49B active) | Yes | Yes |
| Hunyuan Hy3 Preview | 2026-04 | 262k | 295B | Yes | Yes |
| Tencent Hunyuan Turbo S | 2026-01 | 200k | — | No | No |
| Tencent Hunyuan A13B Instruct | 2025-11 | 131k | 13B | No | No |
| Tencent Hunyuan 2.0 Think | 2025-09 | 131k | — | No | No |
| Tencent Hunyuan 2.0 Instruct | 2025-06 | 131k | — | No | No |
| Tencent Hunyuan T1 | 2025-03 | 256k | 52B | Yes | No |
| Hunyuan Large | 2024-11 | 128k | 389B (52B active) | No | No |
Available From(2 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Hunyuan Hy3 Preview | OpenRouter | $0.066 | $0.26 | Serverless |
| Hunyuan Hy3 Preview | Tencent Cloud TI Platform | $0.066 | $0.26 | Serverless |
| Tencent Hunyuan A13B Instruct | OpenRouter | $0.14 | $0.57 | Serverless |
| Hunyuan Hy4 Preview | Tencent Cloud TI Platform | $0.834 | $2.501 | Serverless |
| Hunyuan Hy4 Preview | OpenRouter | $0.834 | $2.501 | Serverless |
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Models(8)
Hunyuan Hy4 Preview
Hunyuan Hy3 Preview
Tencent Hunyuan Turbo S
Tencent Hunyuan A13B Instruct
Tencent Hunyuan 2.0 Think
Tencent Hunyuan 2.0 Instruct
Tencent Hunyuan T1
Hunyuan Large

