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DeepSeek

companyCredibility: 50%

Why this score? Chinese frontier lab; significant open-weight releases. Training-cost and capability claims have limited independent auditability — corroborate via third-party evaluation.

Tracked Statements (1)

DeepSeek says its V3 model’s final training run used 2,788,000 H800 GPU-hours — about $5.6 million.±

Context: The $5.6M figure is DeepSeek’s own and, per CSIS, covers only the final successful pretraining run — excluding prior experiments, post-training, staff, and the underlying hardware. SemiAnalysis estimated DeepSeek/High-Flyer operates ~50,000 Hopper-class GPUs and spent ~$1.6 billion on GPU-server capex. So the marginal-run figure may be accurate while the ‘trained for $5.6M’ framing understates true cost by orders of magnitude.