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Side-by-side spec sheets for chips, systems and models. Every figure keeps its basis label — a vendor claim next to an estimate is labeled as exactly that.

vs and
DeepSeek-V3
671B parameters, $5.6M disclosed final-run cost — the efficiency shock.
Llama 3.1 405B
The first open-weights model at closed-frontier scale.
Overview — Training 14.8T tokens · 2,048 × H800 · ~2.79M GPU-hours (disclosed)Published paper —
Overview — Disclosed cost $5.576M final run only — excludes research, ablations, data and hardwarePublished paper —
Overview — Training compute — ~3.8×10²⁵ FLOP (from disclosed GPU-hours)Published paper
Overview — Training hardware — ~16,000 × H100 (two 24k clusters built)Published paper

"—" means that record does not publish this line; different vendors disclose different things, and we do not fill gaps with guesses.