Verified80% confidenceFactExact time
The FLOPs required to train a GPT-4-scale model reach the order of 10²⁴ to 10²⁵.
4
Sources
80%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
UnverifiedTraining GPT-3 consumed approximately 3.14×10²³ FLOPs.79% similarUnverifiedGPT-4 completed training in August 2022 with fewer than 2 trillion parameters; the current GPT-5.6 has approximately 4 trillion parameters and Fable approximately 10 trillion parameters, only 5 to 6 times that of GPT-4.76% similarVerifiedThe computing power required to train a GPT-4-level model is approximately 100 times greater than that required for GPT-3.75% similarUnverified该行政命令以10^26 FLOP作为触发报告义务的基准线，大致对应训练GPT-4所需的计算量级75% similarVerified训练一次GPT-4级别的模型需要数万块A100/H100 GPU协同工作数月75% similar
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