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What is the obstacle in front of Local Frontiers?
本地大型语言模型（LLMs），例如K3和GLM 5.3模型，面临的主要障碍是它们难以持续达到Opus、Fable和Astra等闭源模型的性能水平。尽管一些本地模型经过少量修改后能够接近甚至达到Opus的水平，但它们普遍落后于更强大的Fable和Astra。目前尚不清楚处理能力是否是阻碍本地模型与闭源模型达到同等水平的主要障碍。
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- 2026年9月7日 09:10
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首次发现2026年9月7日 13:00时区UTC · UTC+0
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We've reached a point with local LLMs where models are now very close to (and even reach) the level of models like the Opus, with some minor modifications.
While some K3 and GLM 5.3 models are incredible, they are barely as powerful as the Opus or on par with the Fable or Astra. My question is what is the biggest obstacle preventing local models from reaching the level of closed source models like the Fable and Astra? Why are local models lagging behind? Is the problem processing power?