2026-08-22-Sat · DeepSeek

From Issue 21 (2026-08-22) · 16 stories in this issue

❯ Tencent’s Next-Gen Model Hy4 Appears in Internal Test Interface, Parameter Count to Exceed Hy3’s 295B

LEAKAccording to leaked screenshots of the internal test interface, Tencent’s next-generation Hunyuan model Hy4 has appeared in the model-selection list, positioned at the expert tier above the existing Hy3. Tencent has previously confirmed to media that Hy4’s parameter count will be larger than Hy3’s, and that it will continue advancing reinforcement learning and multimodal capabilities, with release planned within the year.

TRACK RECORDFor reference, per Tencent’s earlier public disclosure, Hy3 uses a mixture-of-experts architecture with 295B total parameters and 21B activated parameters, supports a 256K context window, and saw call volume grow more than 68x over the previous generation within a week of launch. It has been integrated into core businesses such as Yuanbao, QQ Browser, and CodeBuddy, with nearly 50 more businesses in the queue. The internal test interface retains all three options — Hy4, Hy3, and DeepSeek. The parallel path of self-developed and integrated open-source models has not changed.

IMPACTHy4 is set to serve as the underlying foundation for the agent application WorkBuddy. Model selection by Tencent’s internal business units thus becomes a practical question: when is it worth swapping the already-integrated DeepSeek back to the self-developed model? What to watch next is the activated parameter count revealed at Hy4’s launch — that number determines whether its call costs can sustain the nearly 50 businesses in the queue.

▪ SIGNALWith self-developed and open-source models sitting side by side in the internal test interface, Tencent has no intention of selecting just one of the two paths.