Hunyuan Models by Tencent AI Lab
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.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
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 |
|---|---|---|---|---|
| Tencent 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
7 release groupsSpecifications(7 models)
| Model | Released | Context | Parameters | Reasoning | Fn Calling | Tool Use |
|---|---|---|---|---|---|---|
| Tencent Hy3 Preview | 2026-04 | 262k | 295B | Yes | Yes | Yes |
| Tencent Hunyuan Turbo S | 2026-01 | 200k | — | No | No | No |
| Tencent Hunyuan A13B Instruct | 2025-11 | 131k | 13B | No | No | No |
| Tencent Hunyuan 2.0 Think | 2025-09 | 131k | — | No | No | No |
| Tencent Hunyuan 2.0 Instruct | 2025-06 | 131k | — | No | No | No |
| Tencent Hunyuan T1 | 2025-03 | 256k | 52B | Yes | No | No |
| Hunyuan Large | 2024-11 | 128k | 389B (52B active) | No | No | No |
Available From(2 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Tencent Hy3 Preview | OpenRouter | $0.066 | $0.26 | Serverless |
| Tencent Hy3 Preview | Tencent Cloud TI Platform | $0.066 | $0.26 | Serverless |
Frequently Asked Questions
- What is Hunyuan used for?
- Hunyuan is used for agentic, agent, and coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does Hunyuan compare to Hunyuan Image?
- Hunyuan by Tencent AI Lab is strongest where you need agentic, while Hunyuan Image by Tencent AI Lab is the closest related family to check for image generation. Hunyuan has 7 listed variants and reaches up to 262k context, so compare the specs and pricing tables before choosing a production model.
- Which Hunyuan model should I use?
- For the lowest listed input price, start with Tencent Hy3 Preview through OpenRouter at $0.066/1M input tokens. For the most capable/latest local choice, evaluate Tencent Hy3 Preview with 262k context and reasoning, tool use, and function calling.
