Is Mistral AI Down?

TIMESTRAL -- MISTRAL'S FIRST TIME-SERIES FOUNDATION MODELS, OPEN WEIGHTS BUT NOT APACHE (weights 2026-10-14, post 2026-10-15, vendor-primary): Mistral's RSS dates 'Introducing Timestral' Thu 15 Oct 2026 (the page's JSON-LD carries an older July date; the RSS and the Hugging Face upload times agree on this week). **What it is:** 'our first family of time-series foundation models' in four sizes -- **5M, 28M, 123M and 209M parameters** -- giving 'probabilistic, multivariate forecasts' with past-only and known-future covariates (including categorical ones) and full quantile outputs. **Claims (vendor-reported, submitted to the GIFT-Eval and TIME leaderboards):** the 209M model 'ranks first on all three of the field's main public benchmarks, GIFT-Eval, TIME, and fev-bench', from a single checkpoint without ensembling; the 28M model beats Chronos-2 (about four times larger) on GIFT-Eval and TIME; the 209M beats TimesFM-3 and Falcon-2.0 with fewer parameters; the Hugging Face card lists GIFT-Eval MASE 0.658 for the 209M. **No GPU needed:** on an 8-thread server CPU, a one-day-ahead forecast from three weeks of 15-minute history takes **10 ms (5M) to 140 ms (209M)**; the 123M is within 0.2% of the 209M at three quarters of its latency. Fine-tuning via Mistral Forge. **Licence:** all four repos (mistralai/Timestral-5M/28M/123M/209M, created 2026-10-14) declare `license: other` -- not Apache 2.0, so check terms before commercial use. No API price or La Plateforme model id announced. Relevance: this is an enterprise-analytics model (sensor telemetry, observability, supply chain, finance), not a chat model; Mistral pitches pairing it with its LLMs in agentic root-cause workflows. Large 4 weights (due end of October) were still not on Hugging Face on 10/15.

VOXTRAL MINI 4B REALTIME ARABIC AND LIDSTRAL ARABIC -- TWO ARABIC-FOCUSED OPEN MODELS (Hugging Face repos created 2026-10-08, vendor-primary model cards): **Voxtral Mini 4B Realtime Arabic** is 'a streaming speech-to-text model for Arabic dialects and Modern Standard Arabic', fine-tuned from Voxtral-Mini-4B-Realtime-2602 (about 4.4B parameters, BF16), built for code-switching and live captions; Mistral reports **an average character error rate of 8.82% across seven Arabic benchmarks at a 480 ms transcription delay**, and the card tags Maghrebi, Gulf, Nile Valley, Levantine and other dialects. **LIDstral Arabic** is a fastText language and dialect classifier for Arabic-script text (Apache 2.0) that also separates non-Arabic languages written in the same script (Persian, Urdu, Pashto, Kurdish, Hausa, Malay in Jawi and others). No Mistral blog post accompanied either release; both appear only on Hugging Face. Mistral Large 4 weights are still due by 2026-10-31 and were not on the Hugging Face org as of 10/12.

MISTRAL LARGE 4 ('LE CHONK') -- PUBLIC PREVIEW OF A 1-TRILLION-PARAMETER OPEN-WEIGHT FLAGSHIP, WEIGHTS DUE BY THE END OF OCTOBER (2026-10-06, vendor-primary): Mistral launched a **public preview of Mistral Large 4** ('Unofficially ML4, very officially: le Chonk'), callable today on Mistral Studio as `mistral-large-4` (v26.10; the docs model page is dated October 6, 2026, status 'Public Preview', license shown only as 'Open'). **Architecture:** the launch post says 'a 1 trillion-parameter natively multimodal model with 49 billion active parameters'; the docs model card says '52B active parameters and 1.05T total parameters, and a 1.6B vision encoder' with a **1M context window** -- the two vendor figures disagree slightly and both are recorded. Trained 'from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe', with more than 160 languages in the training data. **Rate card (docs model page, per 1M tokens): $1.36 input, $0.14 cached input, $4.18 output; a second column at exactly half ($0.68 / $0.07 / $2.09) matches Mistral's standing 50% batch discount.** Neither the public pricing page nor the docs pricing table listed Large 4 at check time -- the model page is the only price source so far. **Weights: 'We will release the weights by the end of the month'**; until then Mistral is 'red-teaming the model in real-world settings with cybersecurity leaders, vetted partners, and state authorities, who will access the same model with reduced moderation and expanded cyber capabilities'. **Vendor benchmarks (all Mistral-published, no third-party verification yet):** DeepSWE v1.1 61.7%, SWE-Atlas-QnA 59.4%, Terminal-Bench 4 28.3%, Coding Agent Index 49.8% ('ahead of DeepSeek V4 Pro 0813 and Qwen3.8 Max'); AutomationBench 59.9%; AA-Briefcase 1,393 Elo; Cybench 93% of 40 challenges; the Artificial Analysis Cyber Index reproduce-and-patch test at 82% ('the highest of any model', with the note that Claude Opus 5.5 and GPT-6 Astra 'score near zero on the same test because they refuse to perform the task'); Lakera B3 attack resistance 93.3%; KORABench 1.691 of 2; Dense 200 visual grounding 42% vs 41% for GPT-6 Astra; a Surge AI blind human coding evaluation placed ML4 Preview second of five (3.74) behind Claude Opus 5 (4.22) and ahead of Kimi K3, GLM-5.3 and GLM-5.2. Mistral calls it 'competitive with the strongest open-source models globally, while significantly outperforming any open-weight model developed in the US or Europe'. **Positioning:** sovereignty and cyber -- 'provider-level refusals can block legitimate vulnerability research', so an open-weight, self-deployable model is pitched at security operations, served from a European deployment 'that Mistral operates end-to-end' plus other regions. **Not published yet:** the weight license, architecture details, the post-training write-up and 'additional benchmarks' are all promised 'as we work toward releasing the weights'; no Vibe availability was stated. **Watch: weights and license by 2026-10-31; a row on the public pricing page; day-one adds on GitHub Copilot or Cursor (none in either changelog as of 10/06).**

MUNICH HUB, THE EMMI AI ACQUISITION ON THE RECORD, AND A ONE-GIGAWATT EUROPEAN COMPUTE PLEDGE (2026-09-28, vendor-primary): 'Today, we are putting that conviction into practice by opening our new hub in Munich', housing 'specialised research teams dedicated to Physics AI and Industrial AI, alongside applied engineers serving our enterprise partners directly'. Two facts this page had not carried: (1) **'Following our acquisition of Emmi AI in May 2026, more than 30 physicists, researchers, and engineers with unique expertise in Physics and Engineering AI joined Mistral'** -- Emmi specialised in 'large-scale AI modelling of computational fluid dynamics, structural mechanics, and multi-physics simulations'; Mistral's pitch is replacing simulations that take 'days per run' with learned physics models, working 'with BMW on crash simulations and engineering AI, and with Siemens Energy on industrial AI applications'. (2) **'To secure Europe's AI sovereignty, Mistral will build one gigawatt of European compute capacity by 2030'**, on top of the in-region inference and sovereign infrastructure announced 8/20. The sovereignty argument is restated around open weights: 'Mistral's model weights are fully accessible to the customer. Our models run on the customer's own infrastructure, trained on their data, operated under European law'. Germany's digital minister Karsten Wildberger is quoted. No product, price or model change; recorded for the acquisition, the compute commitment and the Physics AI line, which is a new product category for Mistral.

MISTRAL POWERS FIREFOX SMART WINDOW -- FIRST CONSUMER-BROWSER DISTRIBUTION FOR MISTRAL MODELS, WITH ZERO DATA RETENTION (2026-09-16, vendor-primary): Mistral and Mozilla announced a partnership under which **Firefox Smart Window (beta), Mozilla's AI browsing assistant, 'is now powered by Mistral models'**. Smart Window summarises complex searches, recalls things you clicked away from and sources information from your open tabs. **Regions: France and North America now; the United Kingdom and Germany 'expected to follow later this year'.** Privacy terms as stated: conversations 'aren't saved on Mozilla's servers by default, and partners like Mistral agree to zero data retention'. Mistral frames it as 'two open source advocates' pairing open weights with open distribution, and says the models are fine-tuned on regional languages and dialects so the browser assistant 'feels native'. **What it changes for this page:** Mistral's consumer reach has historically been Vibe (ex-Le Chat) only; Firefox is the first third-party consumer surface at scale, and the zero-retention clause is a concrete privacy commitment worth quoting against Chrome's Gemini integration. Not stated: which Mistral model, whether inference is local or cloud, or any commercial terms.

EUR 3 BILLION SERIES D AT MORE THAN EUR 21 BILLION POST-MONEY, LED BY SAMSUNG -- THE LARGEST EUROPEAN TECH EQUITY ROUND ON RECORD, PER MISTRAL (2026-09-08, vendor-primary): Mistral announced 'it has raised **EUR 3 billion in a Series D funding round at a post-money valuation of more than EUR 21 billion**, the largest equity fundraising round ever completed by a European technology company, three years after the company's launch.' **Samsung Electronics led**, with co-leads **Scaleup Europe Fund (managed by EQT)** and existing investor **PSG Equity**. **Stated use of funds:** expanding frontier research, scaling compute for training, building out infrastructure (the European sovereign-compute programme announced 8/11), and commercial and international growth; Mistral says it now operates across **20 countries** and supports **125+ global enterprises** including Airbus, ASML and HSBC. **WHY IT MATTERS ON THIS PAGE:** this roughly doubles the valuation from the September 2025 round and puts a strategic hardware investor at the top of the cap table -- Samsung is a memory and foundry supplier to every frontier lab, so the tie-up reads as a compute-and-distribution partnership as much as a financing. It also funds the open-weight strategy explicitly ('sovereign, open-weight AI'), which is the commercial bet that distinguishes Mistral from the closed US labs it competes with on Vibe and the API. **Same window, minor:** a **Cloudera partnership** (9/10) to run Mistral models inside customers' Cloudera environments for regulated industries, and a solutions post (9/09) on migrating 40,000 lines of Fortran 77 to C++ with agents for a European energy operator. Neither changes pricing or product availability. **No model releases from Mistral this window** -- newest model post remains Shieldstral (8/04).