Magic claims frontier-model performance at a fraction of the compute
Magic says its pretraining recipe matches DeepSeek V4 Pro Base with roughly 50 times fewer FLOPs, about $500,000 on GB200 hardware, then outperforms public open-weight bases after scaling to around $4 million. That puts a claimed $100 million-plus training bill under the baseline recipe into a very different light. The evidence is based on held-out loss and scaling-law projections, so the key question is whether the advantage survives independent testing and downstream use.