Tencent released Hy3, a 295B-parameter MoE model with 21B active parameters, outperforming similar-sized models and rivaling larger open-source models. It is Apache 2.0 licensed, available on Hugging Face and free on OpenRouter until July 21st.
Hy3 is a 295-billion-parameter Mixture-of-Experts model with 21 billion active parameters and 3.8 billion MTP layer parameters. Developed by Tencent, Hy3 outperforms similar-sized models and rivals flagship open-source models with two to five times more parameters. The full-sized model is available on Hugging Face. It is available for free on OpenRouter until July 21.
# tencent/Hy3
Source: [https://simonwillison.net/2026/Jul/6/hy3/](https://simonwillison.net/2026/Jul/6/hy3/)
6th July 2026 \- Link Blog
**[tencent/Hy3](https://huggingface.co/tencent/Hy3)**\. New Apache 2\.0 licensed model from Tencent in China:
> Hy3 is a 295B\-parameter Mixture\-of\-Experts \(MoE\) model with 21B active parameters and 3\.8B MTP layer parameters, developed by the Tencent Hy Team\. Following the Hy3 Preview launch in late April, we gathered feedback from 50\+ products and scaled up post\-training with higher quality data\. Today, we introduce Hy3, which outperforms similar\-size models and rivals flagship open\-source models with 2\-5x parameters\. It also shows significant gains in utility across various products and productivity tasks\.
The full\-sized model is 598GB on Hugging Face, and the FP8 quantized one[is 300GB](https://huggingface.co/tencent/Hy3-FP8/tree/main)\. The context length is 256K\.
It's available for free[on OpenRouter until July 21st](https://openrouter.ai/tencent/hy3:free)\. I had it "Generate an SVG of a pelican riding a bicycle" there and got this:
Tencent releases Hy3, a 295B-parameter Mixture-of-Experts model with 21B active parameters and Apache 2.0 license, achieving strong benchmark performance comparable to larger flagship models.
Tencent released Hy3, a 295B-parameter Mixture-of-Experts model with 21B active parameters, under Apache 2.0 license, outperforming similar-size models and rivaling larger open-source models with 2-5x parameters.
Tencent releases Hy3-preview, a 295B-parameter MoE model with 21B active parameters that excels in STEM reasoning, instruction following, coding and agent tasks.
Tencent released Hy3, a 295B MoE model focused on practical reliability for agentic tasks, with open-source Apache 2.0 license and a free API for two weeks.