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One of AI vendor DeepSeek's biggest selling points has been its ultra-low price point, but that party's about to end.
The Chinese model provider is raising API pricing for its V4 model family by notable margins, in some cases by more than 1,100%. The increases may not be that dramatic for all, though; the company is encouraging "more flexible workload scheduling," with peak rates and half-price off-peak rates.
The news was tucked into the announcement of the general availability (GA) of DeepSeek V4-Pro and upgrades to VR-Flash. The new pricing takes effect for most parts of the world on August 16.
"On paper, at peak, against the right comparator, DeepSeek's price advantage does disappear, and in places inverts," said Sanchit Vir Gogia, chief analyst at Greyhound Research. But in practice, "the schedule's own clock and cache hand most of it back to any buyer paying attention."
How Flash and Pro compare now
The new API pricing structure is as follows:
Flash is now $0.22 per million input tokens (cache miss) and $0.66 per million output tokens off-peak; and $0.44 per million input tokens (cache miss) and $1.32 per million output tokens at peak.
This is up from the flat rate of $0.14 for inputs (cache miss),
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Anthropic CEO Dario Amodei has argued that policymakers should keep lower-risk open-weight AI accessible while placing stricter safeguards around frontier systems, including mandatory testing and limits on China's access to advanced computing and model capabilities.
In a post outlining Anthropic's position, Amodei said broad restrictions, including bans on Chinese open-weight models used by US businesses, would not address his main national security concerns. Instead, he pointed to the possibility of authoritarian governments surpassing the US in advanced AI, as well as cyber, biological, and alignment risks posed by increasingly capable systems.
Amodei also called for action against industrial-scale model distillation, which he said allows Chinese developers to improve their models with less computing power than would be needed to train comparable systems from scratch.
The statement followed criticism of Anthropic for not signing an industry letter backed by Nvidia, Microsoft, Meta, IBM, Mistral, Hugging Face and other technology companies urging policymakers to avoid premature restrictions on open-weight models.
The letter said that open wei
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