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DeepSeek V4-Flash Runs for 3 Cents Per Test as U.S. AI Models Price Far Higher
By Prompt AI News1 min read
#deepseek#ai-costs#benchmarks#china
A benchmark study from Artificial Analysis, surfaced via Reddit's r/artificial community, has put a precise number on the AI cost divide: China's DeepSeek V4-Flash averages just 3 cents per test. Fellow Chinese model Kimi K3 comes in at 86 cents per test — and the study indicates U.S. models price even higher still.
The Artificial Analysis benchmarks measure affordability, not raw performance. That distinction matters for businesses deploying models across high-volume use cases, where per-query costs compound quickly. A model that costs a fraction of a cent per call in bulk is a fundamentally different commercial proposition than one that costs a dollar.
The gap, as measured here, is not marginal — it is an order of magnitude. For U.S. AI labs competing for global enterprise contracts, the benchmarks raise commercial questions that performance rankings alone don't answer. Whether DeepSeek's pricing advantage reflects engineering efficiency, cost structures, or other factors, the number in the study is what enterprise buyers see first.
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