most large MoE models still stop at text and terminal loops, which is why the full Hy4…
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most large MoE models still stop at text and terminal loops, which is why the full Hy4 release from @TencentHunyuan and @TencentAI_News stands out. it scales Tencent's 770B MoE model (49B active, 1M context) up from Hy4 preview, adding vision perception and CLI/GUI computer use for the first time. on the benchmarks, Hy4 scores 78.9 on OSWorld 2.1 for computer use ahead of GPT-6.1 Sol at 75.2, while jumping from 53.9 on Hy4 preview to 75.2 on APEX-Agents v1.1. coding evals move up too, reaching 74.9 on DeepSWE v1.1 (up from 64.3) and 78.9 on WebCraftBench (up from 52.7), while its new vision c
Posted by AshutoshShrivastava (82.5k followers) 1 days ago · 30 likes · 2.4k views · view the original post on X. Kept by the AI Radar as AI agents. Tools mentioned: WorkBuddy.
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