ended6월 3일· 1 sources

Mistral Small 4 Achieves GPT-4-Class Performance—But at What Hardware Cost?

Mistral Small 4가 보여주는 로컬 AI의 경제적 현실: 성능과 비용의 딜레마

Why it matters

Mistral Small 4 delivers GPT-4-level coding and reasoning with open weights, but the 74 GB footprint makes local deployment economically impractical—requiring $3K–4K in hardware versus a $0.15/M-token API. The real story is how open-source advantage increasingly depends on infrastructure economics rather than capability alone.

1
Sources
+0
24h
Growth
45d
Active
Mistral Small 4MoELocal AIOpen-weightQuantization

Sources

Related Issues