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Ministral 3 research paper by Mistral AI, 2026

Mistral AI · Jan 13, 2026 · Reasoning · 63 citations · 66 upvotes · unverified

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What it shows

The Ministral 3 series consists of parameter-efficient dense language models with three sizes (3B, 8B, 14B) and three variants per size, trained using cascade distillation for compute-constrained applications.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Alexander H. Liu, Kartik Khandelwal, Sandeep Subramanian and 117 more
arXiv
2601.08584 · PDF
Venue
arXiv.org
Citations
63, 9 influential · Semantic Scholar
Upvotes
66 · Hugging Face
Lab
Mistral AI · on Companies · on Rounds · on Releases · on Releases

Changes

What changed
Influential citationsfirst count: 9Sep 25, 2026
Citationsfirst count: 63Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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