Tencent releases Hy4, powerful frontier LLM introducing visual understanding and computer use

SHARE UPDATED 11:05 EST / NOVEMBER 04 2026

Tencent Holdings Ltd. today introduced Hy4, a new large language model that adds computer-use capabilities for the first time, using advanced visual understanding, reasoning and tool-calling to deliver long-horizon agentic performance.

The company said the model marks a significant leap in performance over its Hy4 Preview, which arrived August 28, weighing in at 770 billion parameters with 49 billion active parameters. Both provide a 1 million token context window, putting it in the same range as current open-weights frontier models from European and Chinese developers, including Mistral AI SAS, Beijing Moonshot Technology Co. Ltd. and Z.AI Co. Ltd.

The company said it substantially scaled both pre-training and post-training, reporting gains over the preview version in instruction following, long-context understanding, agentic long-horizon tasks, and deep research. Tencent also identified excessive reasoning and over-verification during the previous version’s “thinking” processes.

The new model focuses heavily on real-world productivity for workplace collaboration, human experience and professional work. The company said it optimized long-context learning capabilities to understand complex information, including web development, document summarization, visual creative tasks, document presentation, and more.

The company added that it also enhanced its capability for front-end and game development, high-complexity tasks that include intricate business logic, state management, and orchestration. Some models struggle with producing stateful, elegant and beautiful user interfaces that are visually polished and also fully functional.

It is not uncommon for professional game developers, industry engineers and amateur vibe coders to use AI models as part of their work. However, a recent spate has had coders begin to reproduce, reverse engineer and clone older and semi-recent video games. This caused Anthropic PBC to block Claude Code and its underlying Opus 5.5 model from assisting in these tasks.

The company said it integrated deeply with major engines such as Unreal Engine, Unity, and Godot, giving it the capability to support complex game logic and multiplayer implementations. Compared to the preview, Tencent said Hy4 improved by 19.1 percent in the GameDev bench and 9.8 percent in GameLogic benchmarks, although the actual baseline numbers remain internal and weren’t released.

To advance scientific reasoning, Tencent advanced the next stage of Recursive Self-Improvement to enhance research and development capabilities. Using the Hyra 2.0 harness, an autonomous AI research agent system, the model optimized the pre-training infrastructure for smaller models sharing the same architecture.

The model is currently available on Tencent Cloud TokenHub, WorkBuddy, CodeBuddy, Yuanbao, WeCom’s AI Assistant, Ima and more. It can also be accessed via third-party sources such as OpenRouter, Hermes and OpenCode. The company added that, despite its significant enhancements over Hy4 Preview, it kept costs low, maintaining the same pricing at around $0.90 per million input tokens, $2.70 per million output tokens, and $0.045 per million cached input tokens.

The Flash version of the model is scheduled for release soon to deliver greater cost efficiency for users. The company also said it intends to release the model weights and system cards in the coming days as part of its commitment to responsible open-source AI development.

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