Curated reviews of mainstream AI models, agents, and dev tools — capabilities, use cases, and how they compare.
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Hy ASR 3.0 Preview is a new generation speech recognition model launched by Tencent Hunyuan, built upon the Hy3 large language model and employing a Mixture of Experts (MoE) architecture. It integrate...

MemHarness is a memory reconstruction framework for LLM Agents introduced jointly by the Shanghai Artificial Intelligence Lab and universities such as Zhejiang University, Fudan University, and Shangh...
Qwen-CUA is a native Computer Use Agent introduced jointly by the Qwen team and XLang Lab. Based on a 397B-A17B Mixture-of-Experts (MoE) architecture, it perceives the interface state solely through s...
PerceptionBench is an open-source visual perception diagnostic benchmark launched by Moonshot AI, focusing on fine-grained evaluation of atomic-level visual perception capabilities. Starting from the ...

Instella-MoE is AMD's open-source Mixture-of-Experts (MoE) language model series, with a total parameter count of 16B and an activated parameter count of 2.8B. It employs a 27-layer decoder architectu...

BigMac is an open-source pipeline-parallel training framework for multimodal large models developed by the dots infra team at Xiaohongshu. It aims to address the fundamental contradiction between comp...

Claude Opus 5 is a flagship large language model released by Anthropic in 2025, positioned as a high-value option with "near-frontier intelligence at about half the cost." Under the same cost structur...

SciReasoner is a new-generation multimodal foundation model for scientific reasoning, jointly developed by the Shanghai Artificial Intelligence Laboratory with teams from the Chinese University of Hon...

Colibrì is an open-source lightweight local inference engine designed to run ultra-large-scale MoE (Mixture of Experts) models on consumer-grade hardware. It can operate the flagship GLM-5.2 model wit...
Kimi K3 is a 2.8 trillion-parameter open-source large model officially released by Moonshot AI on July 16, 2026. It is built upon the KDA hybrid linear attention mechanism and attention residual techn...

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