{"id":53238,"date":"2026-10-06T18:54:45","date_gmt":"2026-10-06T16:54:45","guid":{"rendered":"https:\/\/www.cloudmagazin.com\/?p=53238"},"modified":"2026-10-06T22:56:18","modified_gmt":"2026-10-06T20:56:18","slug":"mistral-brings-europe-closer-to-the-ai-leaders","status":"publish","type":"post","link":"https:\/\/www.cloudmagazin.com\/en\/2026\/10\/06\/mistral-brings-europe-closer-to-the-ai-leaders\/","title":{"rendered":"Mistral brings Europe closer to the AI leaders"},"content":{"rendered":"<p><strong>Mistral Large 4 has been in public preview since 6 October, after training in Mistral&#8217;s own European data centres. Its 38 points in the Intelligence Index make it the highest-ranked model outside the US and China. Open weights are due at the end of October. Aleph Alpha&#8217;s German counterpart is smaller.<\/strong><\/p>\n<h2>Key takeaways<\/h2>\n<div style=\"background:#f8fbfd;border:1px solid rgba(11,183,253,0.28);border-radius:8px;padding:22px 26px;margin:16px 0 34px;box-shadow:0 1px 0 rgba(11,183,253,0.08),0 2px 8px rgba(0,0,0,0.03);\">\n<ul style=\"margin:0;padding-left:20px;line-height:1.75;color:#1a2733;\">\n<li style=\"margin-bottom:10px;\"><strong>Mistral Large 4 is the strongest model outside the US and China.<\/strong> The preview scores 38 points in the Intelligence Index; its predecessors scored 14 and 9 points.<\/li>\n<li style=\"margin-bottom:10px;\"><strong>It remains more than 19 points behind the leader.<\/strong> Claude Opus 5.5 leads with 58 points. Among open-weight models, seven Chinese models would rank ahead of Mistral.<\/li>\n<li><strong>Open weights remain a promise until they are released.<\/strong> Until the end of October, the model runs only through the API and is classified as proprietary.<\/li>\n<\/ul>\n<\/div>\n<p style=\"font-size:0.88em;color:#666;margin:20px 0 32px 0;border-top:1px solid #e5e5e5;border-bottom:1px solid #e5e5e5;padding:10px 0;\"><span style=\"font-family:'SF Mono','Monaco','Consolas',monospace;color:#0879aa;font-weight:700;text-transform:uppercase;font-size:0.72em;letter-spacing:0.14em;margin-right:14px;\">Related:<\/span><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/08\/04\/downloadable-doesnt-mean-deployable\/\" style=\"color:#333;text-decoration:underline;\">Downloadable Doesn\u2019t Mean Deployable<\/a>&nbsp;&nbsp;<span style=\"color:#ccc;\">\/<\/span>&nbsp;&nbsp;<a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/09\/28\/alibaba-expands-its-operations-including-in-germany\/\" style=\"color:#333;text-decoration:underline;\">Alibaba Expands in Germany as Well<\/a><\/p>\n<h2>A jump in the index<\/h2>\n<p>Since 6 October, <a href=\"https:\/\/mistral.ai\/news\/mistral-large-4\/\">Mistral Large 4<\/a> has been available in public preview through the API in Mistral Studio. In the Intelligence Index from benchmark provider Artificial Analysis, a score based on numerous test tasks, Mistral jumps from 9 to <a href=\"https:\/\/artificialanalysis.ai\/models\/mistral-large-4\">38 points<\/a>. This score makes Mistral Large 4 the <a href=\"https:\/\/huggingnews.com\/ai\/mistral-le-chonk-tops-intelligence-index-for-non-us-and-china-ai-a7d06fde\">highest-ranked model outside the US and China<\/a>, ahead of countries such as South Korea and the United Arab Emirates.<\/p>\n<p><strong>What is an open-weight model?<\/strong> Weights are the parameters that an AI model learns during training and that determine its behaviour. With an open-weight model, the provider makes these parameters available to download, allowing companies to run the model on their own hardware or in their own cloud. Mistral Large 4 is classified as proprietary until the announced release. Aleph Alpha&#8217;s Kolibri is already available under Apache 2.0.<\/p>\n<h2>The gap to the leaders<\/h2>\n<p>The jump significantly narrows Mistral&#8217;s gap to the leaders, but does not close it. The table shows where the model stands in the index.<\/p>\n<div style=\"overflow-x:auto;margin:24px 0 6px;-webkit-overflow-scrolling:touch;border:1px solid rgba(11,183,253,0.25);border-radius:10px;\">\n<table style=\"border-collapse:collapse;width:100%;font-size:0.88em;\">\n<thead>\n<tr style=\"background:#f8fbfd;\">\n<th style=\"text-align:left;padding:13px 14px;border-bottom:2px solid #0bb7fd;color:#1a2733;position:sticky;left:0;background:#f8fbfd;z-index:2;\">Model<\/th>\n<th style=\"text-align:center;padding:13px 10px;border-bottom:2px solid #0bb7fd;color:#1a2733;font-weight:700;\">Provider<\/th>\n<th style=\"text-align:center;padding:13px 10px;border-bottom:2px solid #0bb7fd;color:#1a2733;font-weight:700;\">Origin<\/th>\n<th style=\"text-align:center;padding:13px 10px;border-bottom:2px solid #0bb7fd;background:rgba(11,183,253,0.14);color:#1a2733;font-weight:700;\">Points<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Claude Opus 5.5<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Anthropic<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">USA<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">58<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Claude Sonnet 5.5<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Anthropic<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">USA<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">56<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Claude Fable 5.1<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Anthropic<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">USA<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">53<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">GPT-6 Astra<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">OpenAI<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">USA<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">53<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Gemini 4 Argon<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Google<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">USA<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">53<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">MiMo-V2.6-Pro<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Xiaomi<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">China<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">46<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">GLM-5.3<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Z.ai<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">China<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">45<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Kimi K3<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Moonshot AI<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">China<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">44<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">DeepSeek V4.1 Flash<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">DeepSeek<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">China<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">39<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#f2fafe;font-weight:600;color:#1a2733;\">Mistral Large 4 (preview)<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;background:#f2fafe;color:#333;\">Mistral AI<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;background:#f2fafe;color:#333;\">France<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;background:rgba(11,183,253,0.08);font-weight:700;color:#0879aa;\">38<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">GPT-6 Luna<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">OpenAI<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">USA<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">38<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Nemotron 3 Ultra<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Nvidia<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">USA<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">23<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Mistral Medium 3.5<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">Mistral AI<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">France<\/td>\n<td style=\"text-align:center;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">14<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Mistral Large 3<\/td>\n<td style=\"text-align:center;padding:12px 10px;color:#333;\">Mistral AI<\/td>\n<td style=\"text-align:center;padding:12px 10px;color:#333;\">France<\/td>\n<td style=\"text-align:center;padding:12px 10px;color:#333;\">9<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"font-size:0.8em;color:#888;margin:6px 2px 30px;\">Source: Artificial Analysis Intelligence Index v4.3.2, as of 6 October 2026; rounded scores. Assessment based on Artificial Analysis, Trending Topics and OfficeChai<\/p>\n<\/div>\n<p>The gap to the leader is around 20 points. Among open-weight models, Mistral Large 4 would rank <a href=\"https:\/\/www.trendingtopics.eu\/mistral-large-4-artificial-analysis-ranking\/\">eighth<\/a>, with all seven models ahead of it coming from China.<\/p>\n<h2>Pricing and operation in Europe<\/h2>\n<p>Billing is based on tokens, the text units into which a model breaks down inputs and outputs. Mistral Large 4 is considered highly verbose. At list price, an index task costs around four times as much as it does with cheaper alternatives.<\/p>\n<div style=\"overflow-x:auto;margin:24px 0 6px;-webkit-overflow-scrolling:touch;border:1px solid rgba(11,183,253,0.25);border-radius:10px;\">\n<table style=\"border-collapse:collapse;width:100%;font-size:0.88em;\">\n<thead>\n<tr style=\"background:#f8fbfd;\">\n<th style=\"text-align:left;padding:13px 14px;border-bottom:2px solid #0bb7fd;color:#1a2733;position:sticky;left:0;background:#f8fbfd;z-index:2;\">Metric<\/th>\n<th style=\"text-align:left;padding:13px 10px;border-bottom:2px solid #0bb7fd;background:rgba(11,183,253,0.14);color:#1a2733;font-weight:700;\">Mistral Large 4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Parameters<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">around 1 trillion, of which 49 billion are active<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Training<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">3,800 Nvidia Grace Blackwell GPUs in its own data centres in Europe<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Languages<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">more than 160<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Input list price<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">around 1.21 euros per million tokens<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Output list price<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">around 3.71 euros per million tokens<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Launch discount<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">50 per cent<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Cost per index task<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">around 1 euro (GLM-5.3-Flash: around 0.22 euros)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;border-bottom:1px solid #eef2f5;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Speed<\/td>\n<td style=\"text-align:left;padding:12px 10px;border-bottom:1px solid #eef2f5;color:#333;\">116 tokens per second<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left;padding:12px 14px;position:sticky;left:0;background:#fff;font-weight:600;color:#1a2733;\">Open weights<\/td>\n<td style=\"text-align:left;padding:12px 10px;color:#333;\">announced for the end of October<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"font-size:0.8em;color:#888;margin:6px 2px 30px;\">Source: Mistral AI, Artificial Analysis, Huggingnews; euro amounts converted at the ECB exchange rate of 6 October 2026<\/p>\n<\/div>\n<p>According to the manufacturer, it should become possible to run the model in a private cloud or on premises, meaning a cloud environment reserved for one company or the company&#8217;s own data centre. Operation on European infrastructure is intended to be possible independently of other digital service providers and under European law.<\/p>\n<p>Mistral says the weights are due at the end of October. Until then, the model runs only through the API and is classified as proprietary in the Intelligence Index. Open weights remain a promise until they are released.<\/p>\n<h2>Funding and investors<\/h2>\n<p>Training was financed by a 3-billion-euro Series D, which the company describes as the largest equity funding round ever raised by a European technology company. Following the Series D, the three-year-old company is <a href=\"https:\/\/mistral.ai\/news\/mistral-makes-sovereign-open-weight-ai-to-frontier\/\">valued at more than 21 billion euros<\/a>. It intends to work closely with investors such as ASML and Samsung.<\/p>\n<h2>The German counterpart<\/h2>\n<p>On 3 October, Aleph Alpha released <a href=\"https:\/\/aleph-alpha.com\/en\/blog\/kolibri-has-landed-a-sovereign-open-weight-model\/\">Kolibri<\/a> as an open model under the Apache 2.0 licence. Kolibri also uses a mixture-of-experts architecture, has around 78 billion parameters and was trained on infrastructure in Germany and Finland.<\/p>\n<p>France therefore leads the country comparison for the strongest model outside the US and China. The German counterpart is a smaller open model from a lab that is set to merge with Cohere from Canada. On 16 September, Cohere from Canada and Aleph Alpha signed the <a href=\"https:\/\/siliconangle.com\/2026\/09\/16\/cohere-and-aleph-alpha-agree-to-merge-in-reported-20b-deal\/\">merger agreement<\/a> . The combined company is expected to operate under the Cohere brand. Regulatory approval is still pending.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Frequently Asked Questions<\/h2>\n<details>\n<summary><strong>How can Mistral Large 4 be used today?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">The preview runs through the API in Mistral Studio. It is also accessible through the OpenRouter platform.<\/p>\n<\/details>\n<details>\n<summary><strong>Which languages and inputs does the model support?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Mistral Large 4 covers more than 160 languages and was built to be natively multimodal. It processes up to 100 images per request.<\/p>\n<\/details>\n<details>\n<summary><strong>How does Mistral Large 4 perform on cyber tasks?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">The model scores 50 points in Artificial Analysis&#8217;s Cyber Index.<\/p>\n<\/details>\n<h2>Editor&#8217;s Picks<\/h2>\n<ul style=\"list-style:none;margin:0 0 8px;padding:0;\">\n<li style=\"padding:10px 0;border-bottom:1px solid #eee;\"><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/06\/25\/msi-cubi-nuc-ai-ai-box-under-the-monitor\/\" style=\"color:#1a1a1a;text-decoration:none;\">MSI Cubi NUC AI+: AI Box Under the Monitor<\/a><\/li>\n<li style=\"padding:10px 0;border-bottom:1px solid #eee;\"><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/07\/13\/soofi-s-sovereign-doesnt-mean-superior\/\" style=\"color:#1a1a1a;text-decoration:none;\">Soofi S: Sovereign Doesn\u2019t Mean Superior<\/a><\/li>\n<li style=\"padding:10px 0;\"><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/05\/20\/finops-for-ai-inference-getting-a-grip-on-gpu-costs-in-multi-cloud\/\" style=\"color:#1a1a1a;text-decoration:none;\">FinOps for AI Inference: Managing GPU Costs in Multi-Cloud<\/a><\/li>\n<\/ul>\n<p style=\"text-align:right;color:#868e96;font-size:0.85em;margin-top:48px;\"><em>Image source: AI-generated (October 2026)<\/em><\/p>\n<p style=\"margin:44px 0 12px;font-size:0.72em;font-weight:700;text-transform:uppercase;letter-spacing:0.18em;color:#666;\">More from the MBF Media Network<\/p>\n<div style=\"padding:14px 18px;border-left:3px solid #202528;background:#fafafa;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#202528;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">MyBusinessFuture<\/div>\n<p><a href=\"https:\/\/mybusinessfuture.com\/en\/when-a-german-ai-model-truly-pays-off\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">When a German AI Model Truly Pays Off<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"Mistral brings Europe closer to the AI leaders. 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