Hy4 preview
Описание
Hy4 preview is a new-generation Mixture-of-Experts (MoE) flagship model from the Tencent Hy Team (released 2026-08-28). It has 770B total parameters with 49B activated per token, plus a native MTP layer (10B total / 0.7B activated) for speculative decoding. The backbone uses 78 layers (first dense FFN, then 77 MoE layers with 256 routed experts + 1 shared expert, top-8 routing), Gated DeepSeek Sparse Attention with IndexCache, and identity Hyper-Connections, with a 1,048,576-token context window. It is text-in / text-out, Apache 2.0 licensed, and a hybrid-thinking model defaulting to high reasoning effort (also supports no_think). Training targets productivity workloads — software engineering, office/analysis, game development, and scientific research — and is co-designed with Tencent products such as CodeBuddy and WorkBuddy. As an early preview, known limitations include longer-than-necessary reasoning on complex tasks and a tendency to over-verify its own work.
Радар способностей
При отсутствии специализированных научных бенчмарков Science оценивается по научным категориям LLM Stats или на основе рассуждений.
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Агентные возможности | 25 | 54.0 | LS |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Agents
Biology
Chemistry
Code
General
Math
Reasoning
Search
Индексы оценки AA
(Artificial Analysis)Нет данных AA оценки
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Цены
Скорость
Нет данных о скорости
Рейтинг цен провайдеров
Рейтинг цен провайдеров
9 провайдеров
Сравнение цен разных API-провайдеров для этой модели.