Assertion Supported AI assessment confidence: 95% certainty 4/5 debate potential 2/5

DeepSeek-R1 cost roughly $300,000 to train, 10x cheaper than DeepSeek-V3

Sebastian Raschka · State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka · Jan 29, 2026 · at 31:06

AI researcher Sebastian Raschka compares the training cost of DeepSeek's base model (V3) against its reasoning model (R1) to illustrate the cost-effectiveness of RL post-training.

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“Deep seek version three, they had like a five million dollar price tag on that given the, I think two dollars per GPU, they assume whether that's a correct assumption or not it's a different question, but if you compare it relative to the cost of R one, I think R one was about 300,000 dollars when they trained it, they had a number in the nature version of the paper. So it's basically more than 10 times cheaper than pre-training.”

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Prediction Not checkable as stated
Process Reward Models will eventually become standard in LLM post-training
“I think it is promising and we will see it working at some point. I think it's just like right now it's still Tricky to make it work, but I am quite sure we'll see it as part of the standard repertoire at some point.”
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