็™ป้Œฒใ—ใฆๆ‹›ๅพ…ใƒชใƒณใ‚ฏใ‚’ๅ…ฑๆœ‰ใ™ใ‚‹ใจใ€ๅ‹•็”ปๅ†็”Ÿๅ ฑ้…ฌใจ็ดนไป‹ๅ ฑ้…ฌใ‚’็ฒๅพ—ใงใใพใ™ใ€‚

David Hendrickson
@TeksEdge
CEO & Founder | PhD | Startup Advisor | @Columbia | Author Generative Software Engineering | ๐Ÿ”” Follow for AI & Vibe Coding Tips ๐Ÿ‘‡
ๅ‚ๅŠ  July 2023
549 ใƒ•ใ‚ฉใƒญใƒผไธญ    11.2K ใƒ•ใ‚กใƒณ
๐Ÿ†• A new open-source 1.6 TRILLION-parameter MoE that scores 0.1 points behind Claude Opus 5 on an agent benchmark has been released. @NexEcosystem released Nex-N2.5-Max. It beats DeepSeek V4 Pro 0813 on all but one comparable benchmark. This thing is enormous! Stats ... ๐Ÿง  1.6 TRILLION parameters ๐Ÿ”€ Mixture-of-Experts ๐Ÿค– Built for agents + long-horizon workflows ๐Ÿ’ป Coding + tool use ๐Ÿ“š 262K context ๐Ÿ“ Text-only โš–๏ธ Apache 2.0 ๐Ÿ“ฆ Weights are already on Hugging Face Nex's reported results ๐Ÿ‘‡ AutomationBench ๐ŸŸฃ Claude Opus 5 โ†’ 50.3 ๐Ÿ”ฅ Nex-N2.5-Max โ†’ 50.2 ๐Ÿ”ต GPT-5.6 Sol โ†’ 45.8 ๐ŸŸข Qwen3.8-Max โ†’ 39.8 And on BrowseComp: ๐Ÿ”ฅ Nex-N2.5-Max โ†’ 92.6 ๐ŸŸฃ Claude Opus 5 โ†’ 90.8 Terminal-Bench 2.1 โ†’ 86.1 Toolathlon Verified โ†’ 74.7 ๐Ÿ˜ You're probably NOT running this one under your desk. The official model repository is about 1.65TB, and Nex's recommended deployment uses this monster hardware .... ๐ŸŽฎ 16ร— H200 ๐Ÿ–ฅ๏ธ 2 nodes โšก TP16 + expert parallelism But here's why I'm posting the monster first. It has a 35B multimodal little brother. And THAT one may actually belong in your home AI lab. ๐Ÿ‘€๐Ÿ”ฅ
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