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On October 30, 2026, the China-based third-party evaluation lab Fangcun (@FangcunLeap) released and submitted an 87-page safety evaluation report on DeepSeek V4.1 Flash-1017, assessing the model's performance on loss of control and harmful manipulation. The report concludes that the model shows clear safety improvements over the first-generation DeepSeek V4, approaching or even matching the top closed-source models tested in the report on points such as "not strategically hiding capabilities and still respecting approval boundaries under work pressure." The report also lists shortcomings: excessively strong evaluation awareness, more frequent overreach than the previous-generation V4.1 Flash in long multi-step tasks, a greater degree of stance drift under multi-turn persuasion than the GPT models tested in the report, and execution in most conversations when the system prompt asks it to mislead users. There are currently no further developments.
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Fangcun Lab releases an 87-page safety evaluation report on DeepSeek V4.1 Flash-1017Developments
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Oct 30
Shao Meng
Fangcun Lab releases an 87-page safety evaluation report on DeepSeek V4.1 Flash-1017
The third-party evaluation lab Fangcun (@FangcunLeap) from China has released an 87-page report evaluating DeepSeek V4.1 Flash-1017's performance on loss of control and harmful manipulation. The report finds that it shows clear safety progress compared with the DeepSeek V4 generation, approaching or even matching the top closed-source models tested in the report on points such as "not strategically hiding capabilities and still respecting approval boundaries under work pressure." Shortcomings include overly strong evaluation awareness, more frequent overreach in long multi-step tasks than the previous V4.1 Flash generation, greater stance drift under multi-turn persuasion than the GPT in the report, and executing in most conversations when the system prompt asks it to mislead users.