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Hy3 preview
The first step in rebuilding Tencent Hunyuan model
Hy3 Preview is a 295B-parameter MoE model (21B active) from Tencent. Built on a completely rebuilt RL infrastructure, it delivers best-in-class cost efficiency and significant improvements in complex reasoning, instruction following, and agentic coding tasks.
This is a milestone release from Tencent. After rebranding their Hunyuan foundation models to the "Hy" series, pronounced like "hi", this is the first model shipped since they rebuilt their pre-training and RL infrastructure in February 2026.
The model itself is a 295B MoE with 21B active parameters, 256K context, and three reasoning modes for different latency / depth tradeoffs. The biggest stated gains are in complex reasoning, context learning, instruction following, coding, and agent tasks, with support for @OpenClaw, @opencode, and @Kilo Code agent workflows.
It probably does not directly challenge the current frontier model landscape yet. But it does show something important: a very large ship is turning toward a much more aggressive direction. Definitely worth watching.
“The first step in rebuilding Tencent Hunyuan model”
Hy3 preview was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #44 on the daily leaderboard. Hy3 Preview is a 295B-parameter MoE model (21B active) from Tencent. Built on a completely rebuilt RL infrastructure, it delivers best-in-class cost efficiency and significant improvements in complex reasoning, instruction following, and agentic coding tasks.
On the analytics side, Hy3 preview competes within Open Source, Artificial Intelligence and Development — topics that collectively have 541.5k followers on Product Hunt. The dashboard above tracks how Hy3 preview performed against the three products that launched closest to it on the same day.
Who hunted Hy3 preview?
Hy3 preview was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Hy3 preview including community comment highlights and product details, visit the product overview.
Zac Zuo
Hi everyone!
This is a milestone release from Tencent. After rebranding their Hunyuan foundation models to the "Hy" series, pronounced like "hi", this is the first model shipped since they rebuilt their pre-training and RL infrastructure in February 2026.
The model itself is a 295B MoE with 21B active parameters, 256K context, and three reasoning modes for different latency / depth tradeoffs. The biggest stated gains are in complex reasoning, context learning, instruction following, coding, and agent tasks, with support for @OpenClaw, @opencode, and @Kilo Code agent workflows.
It probably does not directly challenge the current frontier model landscape yet. But it does show something important: a very large ship is turning toward a much more aggressive direction. Definitely worth watching.
The model is already open-sourced, and you can try it for free on OpenRouter until May 8.