Hy4 preview
- ID
- 19515
- Status
- summarized
- Published
- 30 Aug 2026, 3:33 AM
- Fetched
- 31 Aug 2026, 11:25 PM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://www.tencent.com/tencent-releases-and-open-sources-tencent-hy4-preview/
- Source URL
- https://hnrss.org/best
Summary
- Score
- 6.5
- Created
- 31 Aug 2026, 11:29 PM
- Tags
- Audience
- developersai_ml_learnersvibe_coders
What happened
Tencent open-sourced Hy4 preview, a 770B total / 49B active parameter MoE model with a 1M+ token context window, optimized for coding, office productivity, and scientific research. In an internal blind evaluation (163 experts, 203 engineering tasks) it scored 2.99/4.00, narrowly ahead of GLM-5.3 (2.92) and Kimi K3 (2.94). It's accessible via OpenRouter and Tencent Cloud TokenHub API, and free for two weeks on WorkBuddy and CodeBuddy.
Why it matters
If you're evaluating long-context coding models, Hy4 preview is free to try right now via OpenRouter, so you can benchmark it against your current stack on real tasks before the trial window closes. The 1M+ token context and 49B active parameters make it a candidate for large-codebase work without the full inference cost of dense 700B+ models.
Discussion angle
Is a 49B-active MoE with 1M context worth swapping into your workflow now, or do Tencent's internal benchmarks (2.99/4.00, barely ahead of peers) suggest it's not yet a meaningful leap over what you already use?