{"article":{"slug":"mistral-large-4-public-preview","kind":"model","source":{"title":"Introducing Mistral Large 4","url":"https://mistral.ai/news/mistral-large-4/","date":"2026-10-06"},"headline":"Mistral Large 4 beats Medium on AutomationBench without leading the whole chart","whatChanged":"Mistral launched the public API preview of Mistral Large 4 on October 6. Public weights are promised by the end of October, not available through this announcement. The preview runs on Mistral's European infrastructure, and the company says training is still underway.\n\nIts published Artificial Analysis AutomationBench chart reports 59.9% of objectives completed without violations, versus 6.3% for Mistral Medium 3.5, 58.3% for Kimi K3, and 62.2% for GLM-5.3. The announcement describes 657 business workflows involving applications such as Gmail and Salesforce. The chart does not specify matched reasoning effort or task budgets.\n\nThe attached October 6 technical document distinguishes proprietary SaaS terms from bespoke self-deployment agreements and says it will be updated for an open-weight release. It also cautions against critical decisions without thorough validation and human oversight. A public preview, an individually negotiated deployment, and the promised public weight release are different purchasing options.","whyItMatters":"The full figure gives a more useful buying signal than a claim of frontier performance. Large 4 improves sharply over Mistral Medium 3.5 on this test and trails GLM-5.3. Equal effort and budgets are not shown, so the comparison is a reason to test a workload rather than a complete price-performance ranking.\n\nA team seeking European hosting can investigate the API preview now. A team requiring downloadable public weights has a future commitment to evaluate. Build a non-sensitive workflow test with explicit permission limits and a known result. Include unsuccessful runs and human corrections in the cost comparison, and ask for the applicable license before designing a production dependency around self-hosting.","issuer":"Mistral","glance":"Mistral opened the Large 4 API preview October 6; public weights are promised by the end of October.","keyFact":"API preview now; public weights due in October","action":"Compare Large 4 with your current model on one bounded workflow and confirm the applicable deployment license.","visuals":[{"url":"https://mistral.ai/_astro/artificial-analysis---automationbench-v3_ZUf0Vl.webp","alt":"AutomationBench chart shows Mistral Large 4 Preview at 59.9%, Medium 3.5 at 6.3%, Kimi K3 at 58.3%, and GLM-5.3 at 62.2%.","caption":"Mistral's chart attributes results to Artificial Analysis. The unit is objectives completed without violations, in percent. Large 4 Preview scores 59.9 versus Medium 3.5's 6.3 and GLM-5.3's 62.2. The figure does not disclose matched effort levels or task budgets, and business-workflow completion does not establish legal or financial accuracy. The source page was modified October 7, within this issue's window.","credit":"Mistral; results attributed to Artificial Analysis","source":{"title":"Introducing Mistral Large 4","url":"https://mistral.ai/news/mistral-large-4/","date":"2026-10-06"}}],"attachments":[{"title":"Mistral Large 4 technical documentation for downstream providers","url":"https://legal.mistral.ai/documents/Mistral%20Large%204%20-%20Technical%20Documentation%20For%20Downstream%20Providers.pdf","description":"October 6 version 1 distinguishes proprietary SaaS, partner, and bespoke self-deployment terms, explains training-data choices, and cautions about critical decisions. It says the document will change for public open weights.","source":{"title":"Mistral Large 4 technical documentation for downstream providers","url":"https://legal.mistral.ai/documents/Mistral%20Large%204%20-%20Technical%20Documentation%20For%20Downstream%20Providers.pdf","date":"2026-10-06"}}],"companyLabel":"Public edition"},"issue":{"id":"2026-10-12","publishedLabel":"Week of October 12, 2026","isLatest":true},"position":{"index":2,"total":5},"next":{"slug":"reflection-beam-early-access","headline":"Reflection previews Beam with competitive older-baseline scores and pending weights"},"session":null}