The open-weight trillion just landed in europe. mistral's large 4 preview, out oct 6, pairs 1.05…
the open-weight trillion just landed in europe. mistral's large 4 preview, out oct 6, pairs 1.05 trillion total parameters with 49 billion active and a million-token window, trained on 3,800 grace blackwell gpus.
the frontier now trains on the continent's own grid.
Context
Verified event date: Mistral launched a public preview of Mistral Large 4 on Oct 6, 2026, with the preview API on Mistral Studio and the weights promised by the end of the month (Mistral, Oct 6). Santage (Oct 7) says weights are scheduled for Oct 27. Mistral says it was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in its own European datacenters.
The Next Web dated its report Oct 5 and calls it the most powerful open-weight system outside China, per Mistral. AGI Hunt (Oct 6) places the training cluster at Bruyères-le-Châtel.
The Oct 6 preview, the 1.05 trillion total parameters, the 1 million token window and the 3,800 GPUs match Mistral and its docs. MarkTechPost cites 49 billion active parameters from the model documentation, while Mistral's docs page now says 52 billion active, so the active count differs by source. The weights had not been released as of the sources read; they are promised for Oct 27, so 'open-weight just landed' is early, and the weights are not yet downloadable. 'The frontier trains on the continent's own grid' is the author's; the sources read do not mention the grid.
'the open-weight trillion just landed in europe' is the author's opinion.
Related work
- Mistral: Introducing Mistral Large 4 ↗Oct 6, 2026.
- Mistral Docs: Mistral Large 4 ↗Model docs.
- MarkTechPost: Mistral AI releases Mistral Large 4 (Le Chonk) ↗Oct 6, 2026.
Watch next
- Check whether the weights shipped on Oct 27 and the final active parameter count.
Sources
- The Next Web: Europe's Mistral launches Large 4thenextweb.com
- Santage: weights on October 27santageai.com
- AGI Hunt: Mistral trained ML4 on 3,800 Grace Blackwell GPUsagihunt.info
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 11 October 2026 at 13:21 IST. Sources are the papers and datasets the note draws on.
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