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deepseek-v4.1POST

GB300 上 1M token 长上下文测试:DeepSeek V4.1 Flash 单跳全中、双跳全错

单针检索 16/16 全中;125K 关闭思考时双跳问题 0/12,拆成单跳或开启思考均 12/12,GLM 在 1M 首 token 耗时 48.8 秒。

Stephen J Ronan MD
@SJRonanMD2 天前收录原推发布于 2026.10.27
Stephen J Ronan MD @SJRonanMD原推发布于 2026.10.27
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What breaks first in long context, from my 1M token needle tests on one GB300: Finding one fact is mostly solved. DeepSeek V4.1 Flash found 16 of 16 single needles at every length. Linking two facts isn't. Every miss, on every model, was a two-hop chain. At 125K with thinking off, DeepSeek went 0 of 12 on two-hop questions. Split the same questions into single hops: 12 of 12. Turn thinking on: 12 of 12. Waiting is the tax. GLM's first token at 1M took 48.8 seconds. Context length is a storage spec. Reasoning across it is a separate skill.

x.com/sjronanmd/status/2114791420678586412采集于 2026.10.27 12:09