Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.
Official3
mistral.ai2026-10-29officialauthorityHN front pageabout the Mistral Large 4 familyHN 1,689 pts · 436 comments1,922 words
Mistral released Mistral Large 4, a 1-trillion-parameter multimodal model now available with improved coding and cybersecurity capabilities. On the Artificial Analysis Coding Agent Index, the model scores 48% while using 47% fewer tokens per task on average compared to GLM-5.3. It supports three reasoning modes to balance performance against inference costs and achieves an average refusal rate of 96.6% on malicious cyber requests.written, reviewed, cited
- Mistral Large 4 resists 97.1% of attacks on the B3 Agent Security Benchmark, up from 93.3% in Preview.
- The model is free to use, modify, fine-tune, and commercialize under the Mistral Ecosystem Open-Weight license.
mistral.ai2026-10-06officialauthorityHN front pageabout the Mistral Large 4 familyHN 2,044 pts · 1,216 comments
mistral.ai2026-10-06officialauthorityHN front pageabout the Mistral Large 4 familyHN 522 pts · 5 comments2,132 words
Mistral launches Mistral Large 4, an open-weight model designed for sovereignty and cybersecurity that avoids the safety refusals blocking legitimate vulnerability research in closed models. The 1 trillion-parameter system with 52 billion active parameters scores 82% on reproducing real software vulnerabilities and runs on 3,800 NVIDIA Grace Blackwell GPUs. Weights drop end of month.written, reviewed, cited
- Mistral Large 4 surpasses even frontier closed models in specific domains such as visual grounding.
- Several leading closed models score near zero on vulnerability reproduction tests because they refuse to perform the task.
- The model's average refusal rate on cyber prompts from JailbreakBench is higher than all OSS models.
Analysis3
artificialanalysis.ai2026-10-06authorityabout the Mistral Large 4 familyHN 4 pts · 0 comments1,076 words
Mistral Large 4 is a reasoning model released on October 29, 2026, that scores 26 on the Artificial Analysis Intelligence Index. It features a 1M token context window, 1.1T total parameters with 52B active, and costs $0.70 per 1M input tokens under the Mistral Ecosystem Open-Weight License. The high effort variant completes tasks in 13.1 minutes, which is quicker than the median of 14.0 minutes for comparable models.written, reviewed, cited
- The model uses a Mixture of Experts architecture where only 52B parameters are active during inference despite 1.1T total.
- A blended pricing rate of $0.40 per 1M tokens applies when using a 7:2:1 cache hit/input/output ratio.
youtube.com2026-10-07about the Mistral Large 4 familyHN 2 pts · 1 comments
vals.ai2026-10-06about the Mistral Large 4 familyHN 3 pts · 0 comments71 words
Community2
twitter.com2026-10-06about the Mistral Large 4 familyHN 70 pts · 4 comments
twitter.com2026-10-06about the Mistral Large 4 familyHN 4 pts · 1 comments
