Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...
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Tencent: Hy4 preview holds the #15 spot for context size out of 371 chat models in the CoreAI catalog — 1.0M tokens, roughly 786,432 words or 1,573 pages of text in a single conversation. On price, it is the #108 cheapest of 179 standard-tier models by input cost. Released 2026-08-28, it is one of the 1 newest additions to the catalog. It supports step-by-step reasoning (thinking mode).
Every model in this table is available on CoreAI — open the web app and run the same prompt through Tencent: Hy4 preview and Tencent: Hy3 preview side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00208 on Tencent: Hy4 preview's raw per-token rates; a heavy session with a 50K-token document costs about $0.054. On CoreAI you don't juggle these numbers — one subscription covers Tencent: Hy4 preview and 300+ other models under a plan usage limit, with no API keys. See plans.
Tencent: Hy4 preview handles 1.0M tokens of context — roughly 786,432 words, or about 1,573 pages of text in one conversation.
Tencent: Hy4 preview's underlying rates are $0.834 per 1M input tokens and $2.5 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — Tencent: Hy4 preview is text-only. If you need image understanding, its standard-tier peers with vision are listed in the comparison table above.
Yes. Tencent: Hy4 preview can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Tencent: Hy4 preview in the model selector, and chat — no API key, no per-token billing. One subscription covers Tencent: Hy4 preview and 300+ other models.
The closest alternatives on CoreAI are Tencent: Hy3 preview, Z.ai: GLM Latest, Ling-3.0-flash — similar capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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