Why has DeepSeek's new version suddenly become more capable? Foreign media expose inside details of the Astra distillation, Liang Wenfeng compromises amid competitive pressure.
1 hours ago
Breaking news from Dongcha Beating AI: DeepSeek’s new model has seen a huge capability boost, likely thanks to Astra. The Information, citing multiple sources with direct knowledge, reports that DeepSeek’s V4.1-Flash-1017, updated on October 17, and Moonshot AI’s newly released Kimi K3.1 Pro both made extensive use of OpenAI’s GPT-6 Astra outputs for distillation during training. The new DeepSeek model performed particularly well on browser operation tasks: in 180 real web task tests from Browser Use, its score rose from 70.9 in the old version to 75.0, close to Astra’s 77.9. However, its per-question model inference cost is only $0.22, compared to Astra’s $10.77—nearly a 49x difference. Previously, Claude was the main target for distillation among Chinese AI firms. But Anthropic has tightened its safeguards over the past two months, making it far harder to extract the model’s reasoning processes, so domestic labs have turned their attention to Astra. DeepSeek founder Liang Wenfeng was initially reluctant to rely on distillation for V4’s development, but after seeing domestic competitors like Zhipu AI’s GLM make progress via distillation, he ultimately caved to competitive pressure.
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