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Hy4 preview is now available on WorkBuddy. 770B total, 49B active, 1M context. Open weights. Another strong addition to the model stack. More choice, more room to build.

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🚨 Tencent just dropped a serious open-source AI contender. Meet Hy4 Preview built for productivity, coding & agentic workflows. 770B total parameters. 49B active. 1M+ token context. But the numbers aren’t the most interesting part. Hy4 Preview is designed to handle what actually matters: planning, tool use, coding, research, document workflows and complex multi-step tasks. In Tencent’s internal blind evaluation across 203 engineering tasks, it scored 2.99/4, edging out GLM 5.3 (2.92) and Kimi K3 (2.94). From full-stack development and research to workplace automation and even game development, this looks less like “just another LLM” and more like a model built to get real work done. Worth watching 👀 🔗 Try it with WorkBuddy: Tencent Hy Tencent AI WorkBuddy
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🚨 Tencent just dropped a serious open-source AI contender. Meet Hy4 Preview built for productivity, coding & agentic workflows. 770B total parameters. 49B active. 1M+ token context. But the numbers aren’t the most interesting part. Hy4 Preview is designed to handle what actually matters: planning, tool use, coding, research, document workflows and complex multi-step tasks. In Tencent’s internal blind evaluation across 203 engineering tasks, it scored 2.99/4, edging out GLM 5.3 (2.92) and Kimi K3 (2.94). From full-stack development and research to workplace automation and even game development, this looks less like “just another LLM” and more like a model built to get real work done. Worth watching 👀 🔗 Try it with WorkBuddy: Tencent Hy Tencent AI WorkBuddy

RAVI KUMAR SAHU

63,568 Aufrufe • vor 2 Tagen

Codex can now run Hy4 preview! Tencent dropped it today. 770b total but only 49b active per token, 1m context, apache 2.0. A frontier model you can actually download. Their own blind eval put it ahead of GLM 5.3 and Kimi k3 on engineering work, 163 experts scoring 203 tasks. 65.7 on swe bench pro. Hy4 now sits in the picker next to sol 5.6. OpenCode and Command code already serves it on the $10 plan, so no api key, no per token metering, and my native models never moved. Here is how you set it up:
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Codex can now run Hy4 preview! Tencent dropped it today. 770b total but only 49b active per token, 1m context, apache 2.0. A frontier model you can actually download. Their own blind eval put it ahead of GLM 5.3 and Kimi k3 on engineering work, 163 experts scoring 203 tasks. 65.7 on swe bench pro. Hy4 now sits in the picker next to sol 5.6. OpenCode and Command code already serves it on the $10 plan, so no api key, no per token metering, and my native models never moved. Here is how you set it up:

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Tencent just released Hy4 Preview: a 770B-parameter open-source model with 49B active parameters and a 1M-token context window. The most interesting part is its agentic research capability. Tencent says Hy4 coordinated several Codex sessions in parallel, evaluated their results and adjusted the research direction, outperforming Codex working alone across eight benchmarks. Hy4 is aimed at long-horizon coding, multi-file office work and scientific research. In sum: a solid, good release. A few months ago this would be absolute sota.
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Tencent just released Hy4 Preview: a 770B-parameter open-source model with 49B active parameters and a 1M-token context window. The most interesting part is its agentic research capability. Tencent says Hy4 coordinated several Codex sessions in parallel, evaluated their results and adjusted the research direction, outperforming Codex working alone across eight benchmarks. Hy4 is aimed at long-horizon coding, multi-file office work and scientific research. In sum: a solid, good release. A few months ago this would be absolute sota.

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I've been testing Hy4 preview on real world productivity and coding tasks, and one thing stood out immediately: It does more than generate an answer. It breaks complex requests into clear steps, retains context, and follows detailed instructions across longer workflows. That focus on practical execution makes sense. Tencent developed the training data with experts across software engineering, gaming, finance, and security, then co designed the model with products like WorkBuddy. For me, the difference was especially noticeable in coding, document analysis, and planning tasks. The entire process felt more reliable from start to finish. Pricing is also surprisingly accessible: $0.834 per 1M input tokens $2.501 per 1M output tokens $0.042 per 1M cache hits Hy4 preview is free to experience on WorkBuddy for the next two weeks. Tencent Hy Tencent AI WorkBuddy
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I've been testing Hy4 preview on real world productivity and coding tasks, and one thing stood out immediately: It does more than generate an answer. It breaks complex requests into clear steps, retains context, and follows detailed instructions across longer workflows. That focus on practical execution makes sense. Tencent developed the training data with experts across software engineering, gaming, finance, and security, then co designed the model with products like WorkBuddy. For me, the difference was especially noticeable in coding, document analysis, and planning tasks. The entire process felt more reliable from start to finish. Pricing is also surprisingly accessible: $0.834 per 1M input tokens $2.501 per 1M output tokens $0.042 per 1M cache hits Hy4 preview is free to experience on WorkBuddy for the next two weeks. Tencent Hy Tencent AI WorkBuddy

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Tencent just dropped Hy4 preview, and it's officially open source now. 770B total params, 49B active, 1M+ token context. three major releases in six months, and this one just landed in the top tier of open source models. → Built through Tencent's co-design loop: training data shaped with experts across software engineering, gaming, finance, and security, then built directly alongside products like WorkBuddy → In a blind test with 163 internal experts across 203 engineering tasks, it scored 2.99/4, ahead of GLM 5.3 at 2.92 and Kimi K3 at 2.94 → Benchmarks put it clearly past GLM 5.2 and neck and neck with GLM 5.3 → Pricing stayed low: $0.834/M input, $2.501/M output, $0.042/M cache hits I asked it to write a weekly status update email template for a team lead, then generate a filled-out example with placeholder projects, and export both as Word docs. one prompt, no follow-up, and it handed back both files clean and ready to send. free to try for the next two weeks through WorkBuddy: Tencent Hy Tencent AI WorkBuddy
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hy4 preview is definitely not a model we should sleep on same prompt for each model, one-shot. i would have expected the gap between both to be bigger but Hy4 Preview still comes close (it's twice the size but still). very huge leap since Hy3 curious which one you'd pick before checking the labels

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