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tencent/Hy3

Summary

Tencent releases Hy3, a 295B-parameter Mixture-of-Experts model with 21B active parameters and 3.8B MTP layer parameters, under Apache 2.0 license. It outperforms similar-size models and rivals flagship open-source models with 2-5x parameters. Available on Hugging Face (598GB full, 300GB FP8 quantized) with 256K context, and free on OpenRouter until July 21, 2026.

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tencent/Hy3

Simon Willison’s Weblog

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6th July 2026 - Link Blog

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. The context length is 256K.

It's available for free on OpenRouter until July 21st. I had it "Generate an SVG of a pelican riding a bicycle" there and got this:

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This is a link post by Simon Willison, posted on 6th July 2026.

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Key points and analysis

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Key points

  • Tencent Hy3: 295B MoE model with 21B active parameters, Apache 2.0 licensed
  • Outperforms similar-size models; rivals models 2-5x its size
  • Full model 598GB, FP8 quantized 300GB, context length 256K
  • Free on OpenRouter until July 21, 2026

Highlights and analysis are generated automatically and may contain errors. Check the original source.