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Mistral's[5] announcement 'Introducing Mistral Large 4' is dated October 6, 2026 and describes a public preview; its docs model card lists the release date as October 6, 2026 (v26.10, Public Preview) and TechCrunch's[2] report is dated the same day.
TechCrunch's 6 October report: about 1 trillion parameters, not yet open-weight and served only through a public guardrail endpoint, weights planned about three weeks after safety testing, trained on roughly 4,000 NVIDIA GPUs ('two to three times less than our Chinese competitors'), pitched at cybersecurity, finance and chip design, with ASML leading the Series C and Samsung the Series D.
Simon Willison's same-day note: 1 trillion total and 49 billion active parameters, preview on Mistral's[1][5] API with weights promised for the end of the month, only 'none' and 'high' reasoning levels, Artificial Analysis Intelligence Index 38 (just behind DeepSeek 4.1 Flash, against 9 for Mistral Large 3), and his view that Mistral is back to roughly six months behind the frontier.
Same-day report: 1 trillion parameters with 49 billion active, natively multimodal, a public preview API on Mistral[1][5] Studio running on the training infrastructure, 160+ languages, weights plus architecture details and post-training methodology due by the end of October, and the reinforcement-learning run behind the preview still in progress.
Mistral's[1] API model card: public preview v26.10 released October 6, 2026, an open-weight multimodal granular mixture of experts with 1.05T total and 52B active parameters, a 1.6B vision encoder, a 1M-token context and prices of $0.68 input and $2.09 output per million tokens (original $1.36 and $4.18).
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