#模型发布

Tencent HY open-sourced Hy4 preview: a flagship MoE with 1M context, and their biggest generational leap measured to date. Apache 2.0.🔥 🤖 https://modelscope.cn/models/Tencent-Hunyuan/Hy4-preview ⚙️ 770B total params, 49B active per token. Ships with a native MTP layer for speculative decoding out of the box. 📊 Blind eval by 163 internal experts across 203 real engineering tasks: it edges out GLM 5.3 (avg 2.99 vs 2.92) and Kimi K3 (2.99 vs 2.94). 💼 Trained on real production workflows: software engineering, office and data analysis, game development, and scientific research. 🌍 For global users: https://modelscope.ai/models/Tencent-Hunyuan/Hy4-preview

🚀 Hy4 preview is here. 770B, 49B active, 1M context. Built for productivity. Open source frontier. Consistent affordable price. Use it. Tell us what breaks. More on Hy blog：https://hy.tencent.ai/research/hy4-preview HuggingFace：https://huggingface.co/tencent/Hy4-preview Github：https://github.com/Tencent-Hunyuan/Hy4-preview

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: 1. npm i -g cline 2. /model 3. Select Hy4 preview

45% preferred FastVideo FastH3 or are neutral compared with @MiniMax_AI H3. Our open-weight FastH3 achieves 15s generation in 13s and 14x speedup. 🚀 Big shoutout to the folks at @fal and @isidentical for helping us run an eval against H3. As an open source project we always appreciate all the help we can get. The entire team is quite excited by this result for a preview checkpoint trained on a fraction of our planned total compute and partial data. Excited for what our next versions can do!! Weights: https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree Blog: https://haoailab.com/blogs/fasth3-preview/ Thank you for your contribution to the open source H3 ecosystem @fal! https://x.com/isidentical/status/2093482587268522188

Hy4 preview is now available in OpenCode Go 770B/49B · 1M context · built for coding agents

Speed is easy when you ignore quality. I can generate random pixels under 1 nanosecond and claim to be ♾x faster than H3 and call it H3-ultra-lightning-fast. But this is not how people should innovate on speed in open. Image and video models are notoriously hard to optimize and we @ fal spend 2-3x more time on evals and making sure optimizations work than actual kernel engineering work. But when you see people claiming they are X times faster than original while messing the quality to a degree that the outputs has nothing to do with original model, it is annoying. Numbers below are for this case, but this is not the first/only one doing it. I'd recommend the authors below, and everyone on the field to run their own evals. Without preference and quality evals in the loop, ai-slop-performance agents can just lead you into a way you generate random pixels and it is just dishonest to call it anything but a random-pixel-generator.

GLM-5.3 现已开放权重。 我们最强大的智能体编码与网络防御模型，现已开放下载、运行和定制。 权重：https://huggingface.co/zai-org/GLM-5.3 技术博客：https://z.ai/blog/glm-5.3

Yesterday, we launched H3 Max. We post-trained MiniMax H3 for stronger prompt adherence and visual quality, while co-designing the inference stack alongside it. As we pushed speed, we continuously tested for quality, only keeping optimizations that preserved the gains from post-training. More on how we built H3 Max: https://blog.fal.ai/introducing-h3-max-by-fal/

Introducing H3 Max, new post-trained video model by fal Research. H3 Max ranks #1 for overall quality, prompt understanding, and aesthetics against leading video models, on both first-party and third-party independent evaluations while generating a 5-second 720p video under 3 seconds. H3 Max is 50% off for the next week, making it the highest quality, fastest and cheapest model for overall video generation tasks.

Introducing H3 Max, new post-trained video model by fal Research. H3 Max ranks #1 for overall quality, prompt understanding, and aesthetics against leading video models, on both first-party and third-party independent evaluations while generating a 5-second 720p video under 3 seconds. H3 Max is 50% off for the next week, making it the highest quality, fastest and cheapest model for overall video generation tasks.