@cline: Tencent Hy4 Preview leads on SWE-bench Pro. 770B, 49B active, 1M context, and their biggest generational leap measured …
Summary
Tencent Hy4 Preview leads on SWE-bench Pro with 770B total parameters, 49B active, and 1M context length, marking their biggest generational leap as an open weights model competing against frontier AI.
View Cached Full Text
Cached at: 08/30/26, 10:16 AM
Tencent Hy4 Preview leads on SWE-bench Pro. 770B, 49B active, 1M context, and their biggest generational leap measured to date.
It’s exciting to see another open weights model compete against the frontier.
Try in Cline with:
- npm i -g cline
- /model
- Select Hy4 preview https://t.co/ZHGocCJCnU
Similar Articles
@CompaCompu: I’m surprised it took so long for an established* Chinese firm to put out a trailer like this** for their model release…
Tencent AI has announced the Hy4 preview model with 770B total parameters, 49B active parameters, 1M context, and open weights, marking a significant update in the competitive Chinese AI landscape.
@cline: Tencent Hy3 represents a breakthrough in open source intelligence. It's topping benchmarks at only 295b params / 21b ac…
Tencent Hy3 is a new open-source frontier-level AI model with 295 billion parameters (21 billion active) that tops benchmarks and can run locally on consumer hardware. It is available for free in Cline.
Tencent/Hy4-preview 770B-A49B weight dropped
Tencent releases Hy4-preview, a new Mixture-of-Experts flagship AI model with 770B total parameters and 49B activated per token, featuring advanced techniques like Gated DeepSeek Sparse Attention and identity Hyper-Connections.
Introducing Hy4 Preview
Tencent has released Hy4 Preview, an open-weight text-only large language model with 770B total parameters, 49B active parameters, and a 1M token context window, featuring reasoning capabilities with 'high' and 'no_think' effort levels.
Tencent Releases and Open-Sources Tencent Hy4 Preview
Tencent has released Tencent Hy4 preview, an open-source large language model with 770B parameters and over 1M token context, designed for productivity tasks in coding, office work, and scientific research.