# Tencent releases Hunyuan Hy3 under Apache 2.0

> The company's latest mixture-of-experts model arrives as an openly licensed conversational LLM on Hugging Face.

Published by The Open Weights on Jul 2, 2026. Canonical: https://theopenweights.com/news/hunyuan-hy3-ome6

## Key facts

- Company: Tencent
- Model: Hunyuan Hy3
- Version: 3
- Category: Text / LLM
- Modalities: Text / LLM
- License: Apache 2.0 (Open weights, commercial use allowed)
- Context window: 262K tokens
- Architecture: HYV3ForCausalLM
- Precision: BF16
- Weights size: 597.6 GB
- Significance: notable
- Published: 2026-07-02
- Last verified: 2026-07-24
- Hugging Face: https://huggingface.co/tencent/Hy3
- Canonical URL: https://theopenweights.com/news/hunyuan-hy3-ome6

Tencent has published Hunyuan Hy3, a new conversational large language model built on a mixture-of-experts (MoE) architecture, to [Hugging Face](https://huggingface.co/tencent/Hy3). The model ships under the Apache-2.0 license, one of the most permissive terms available for commercial and research use.

The MoE design is the notable structural choice here. Rather than activating every parameter for each token, mixture-of-experts models route inputs through a subset of specialized "expert" networks. That approach lets a model carry a large total parameter count while keeping the compute cost of any single inference pass lower than a dense model of comparable size.

## Why it matters

Tencent has steadily expanded its Hunyuan family across text, image, and video, and continued open releases give developers outside China a credible alternative to the usual Western and other Chinese open-weight labs. A few practical points stand out:

- **Apache-2.0 licensing** removes many of the usage restrictions attached to some competing open models.
- **MoE architecture** signals a focus on efficient scaling rather than brute-force dense parameter growth.
- **Conversational focus** positions Hy3 as a general-purpose assistant model rather than a narrow specialist.

Tencent has not yet detailed parameter counts, context length, or benchmark results in the initial listing, so a fuller assessment will depend on the model card and independent testing. For now, the release adds another permissively licensed MoE option to a crowded but fast-moving open-weights landscape.

## Get the model

- [Hugging Face](https://huggingface.co/tencent/Hy3)

## Sources

- [tencent/Hy3](https://huggingface.co/tencent/Hy3) — Hugging Face, Jul 2, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "Tencent releases Hunyuan Hy3 under Apache 2.0", The Open Weights, Jul 2, 2026, https://theopenweights.com/news/hunyuan-hy3-ome6