{"slug": "mistral-large", "name": "Mistral Large", "category": "ai", "category_name": "AI models and assistants", "description": "", "recommenders": 3, "commenters": 8, "warners": 1, "score": 2.903, "rising": 1.67, "first": "2026-06-30", "latest": "2026-10-31", "why": "Mistral has been great for us as a provider for our EU-based company. We use Mistral Large 4, GLM 5.3 Flash and DeepSeek v4.1 Flash 1017 through their API", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 3, "neutral": 2, "compare": 2, "warn": 1}, "spark": [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2], "listed": true, "loved": [], "caveat": "", "short_quote": "Mistral has been great for us as a provider for our EU-based company. We use Mistral Large 4, GLM 5.3 Flash and DeepSeek v4.1 Flash 1017 through their API", "icon": true, "domain": null, "github_repo": null, "official_url": "https://mistral.ai", "pricing": "", "aliases": ["Mistral Large 4", "Mistral Large"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 804644176, "item_id": 50290261, "url": "https://news.ycombinator.com/item?id=50290261", "by": "d2kx", "date": "2026-10-29", "stance": "recommend", "quote": "Mistral has been great for us as a provider for our EU-based company. We use Mistral Large 4, GLM 5.3 Flash and DeepSeek v4.1 Flash 1017 through their API", "excerpt": "Mistral has been great for us as a provider for our EU-based company. We use Mistral Large 4, GLM 5.3 Flash and DeepSeek v4.1 Flash 1017 through their API for our B2B2C app for complex work around building blocks for documents and custom tools. A few months ago we weren't sure which EU provider to use, but since they introduced 3rd party models, added more features (now Responses API etc.) and improved their own mode", "context": "EU-based company, B2B2C app", "use_case": "document building blocks, custom tools", "switched_from": "", "story": "We're releasing the weights of Mistral Large 4"}, {"id": 799650384, "item_id": 49978149, "url": "https://news.ycombinator.com/item?id=49978149", "by": "prodigycorp", "date": "2026-10-06", "stance": "recommend", "quote": "Definitely good enough to use as a daily driver over other llms", "excerpt": "Impressive vision benchmarking. If the vision model is truly as good as astra, that would make it best in the world. Also strong on cyber benchmarks (better than all chinese models), so this is a good defender model. Lots of people shitting of Mistral for no reason imo. These are pretty good numbers across the board. Definitely good enough to use as a daily driver over other llms, if you have moral qualms with the ot", "context": "", "use_case": "cybersecurity, vision", "switched_from": "", "story": "Mistral Large 4"}, {"id": 779857440, "item_id": 48741090, "url": "https://news.ycombinator.com/item?id=48741090", "by": "Confiks", "date": "2026-06-30", "stance": "recommend", "quote": "For writing and languange learning it's very decent, especially Mistral Large.", "excerpt": "For writing and languange learning it's very decent, especially Mistral Large. The pricing is very good too. I really like the consistently low time to first token and good token per second. Claude, especially in the past, would be very inconsistent, often with outages. Mistral mostly just always works and is very fast. Technical questions are unfortunately hit or miss. I'm lately pretty much always using a system pr", "context": "", "use_case": "writing and language learning", "switched_from": "", "story": "Leanstral 1.5"}]}], "caveats": [{"label": "", "summary": "", "quotes": [{"id": 804644784, "item_id": 50290299, "url": "https://news.ycombinator.com/item?id=50290299", "by": "almindor", "date": "2026-10-29", "stance": "warn", "quote": "it's still too expensive and very slow when thinking.", "excerpt": "They didn't. Original price was maybe higher but they slashed it during preview and in fact it was lower by a bit ($0.68/M tokens) and $2.09 for output. I've been using it for my personal project and it's still too expensive and very slow when thinking. I think we need one more generation from mistral and with maybe 50% of this already \"slashed\" price for this to be competitive (I use Opus 5.5 at work and it's still ", "context": "", "use_case": "personal project", "switched_from": "", "story": "We're releasing the weights of Mistral Large 4"}]}], "who": [{"by": "adrian_b", "context": "heavy data downloader", "url": "https://news.ycombinator.com/item?id=50315262", "date": "2026-10-31"}, {"by": "d2kx", "context": "EU-based company, B2B2C app", "url": "https://news.ycombinator.com/item?id=50290261", "date": "2026-10-29"}], "tags": [], "use_cases": ["local llm", "local model", "personal project", "document building blocks, custom tools", "cybersecurity", "cybersecurity, vision"], "compared": [{"slug": "claude-opus", "name": "Claude Opus", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=50289418", "title": "We're releasing the weights of Mistral Large 4", "mentions": 3}, {"url": "https://news.ycombinator.com/item?id=49977979", "title": "Mistral Large 4", "mentions": 3}, {"url": "https://news.ycombinator.com/item?id=50315047", "title": "French lawmakers approved a tax of \u20ac0.055 for every gigabyte of internet traffic", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48738938", "title": "Leanstral 1.5", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {}, "2026-01": {}, "2026-02": {}, "2026-03": {}, "2026-04": {}, "2026-05": {}, "2026-06": {"recommend": 1}, "2026-07": {}, "2026-08": {}, "2026-09": {}, "2026-10": {"recommend": 2, "compare": 2, "warn": 1, "neutral": 2}}, "quotes": [{"id": 805044192, "item_id": 50315262, "url": "https://news.ycombinator.com/item?id=50315262", "by": "adrian_b", "date": "2026-10-31", "stance": "neutral", "quote": "I downloaded the Mistral Large LLM weights", "excerpt": "The tax is huge. Fortunately, I do not live in France. Otherwise, this tax would cost me at least 50% of what I pay for all my food, daily. 50 GB of daily traffic is normal for me, sometimes even much more, e.g. one day ago I had a traffic of 1 TB per day, because I downloaded the Mistral Large LLM weights. So to download Mistral, I would have had to pay EUR 55, much more than I pay for a month of Internet access.", "context": "heavy data downloader", "use_case": "local LLM", "switched_from": "", "story": "French lawmakers approved a tax of \u20ac0.055 for every gigabyte of internet traffic"}, {"id": 804675760, "item_id": 50292235, "url": "https://news.ycombinator.com/item?id=50292235", "by": "jacquesm", "date": "2026-10-29", "stance": "neutral", "quote": "I'm definitely going to give this a shot.", "excerpt": "If Unsloth, DavidAU or mradermacher releases a quant that fits my hardware I'm definitely going to give this a shot.", "context": "", "use_case": "local model", "switched_from": "", "story": "We're releasing the weights of Mistral Large 4"}, {"id": 804644784, "item_id": 50290299, "url": "https://news.ycombinator.com/item?id=50290299", "by": "almindor", "date": "2026-10-29", "stance": "warn", "quote": "it's still too expensive and very slow when thinking.", "excerpt": "They didn't. Original price was maybe higher but they slashed it during preview and in fact it was lower by a bit ($0.68/M tokens) and $2.09 for output. I've been using it for my personal project and it's still too expensive and very slow when thinking. I think we need one more generation from mistral and with maybe 50% of this already \"slashed\" price for this to be competitive (I use Opus 5.5 at work and it's still ", "context": "", "use_case": "personal project", "switched_from": "", "story": "We're releasing the weights of Mistral Large 4"}, {"id": 804644176, "item_id": 50290261, "url": "https://news.ycombinator.com/item?id=50290261", "by": "d2kx", "date": "2026-10-29", "stance": "recommend", "quote": "Mistral has been great for us as a provider for our EU-based company. We use Mistral Large 4, GLM 5.3 Flash and DeepSeek v4.1 Flash 1017 through their API", "excerpt": "Mistral has been great for us as a provider for our EU-based company. We use Mistral Large 4, GLM 5.3 Flash and DeepSeek v4.1 Flash 1017 through their API for our B2B2C app for complex work around building blocks for documents and custom tools. A few months ago we weren't sure which EU provider to use, but since they introduced 3rd party models, added more features (now Responses API etc.) and improved their own mode", "context": "EU-based company, B2B2C app", "use_case": "document building blocks, custom tools", "switched_from": "", "story": "We're releasing the weights of Mistral Large 4"}, {"id": 799662560, "item_id": 49978910, "url": "https://news.ycombinator.com/item?id=49978910", "by": "jascha_eng", "date": "2026-10-06", "stance": "compare", "quote": "That said I love that they don't seem to restrict cyber capabilities to any degree and even lean into it.", "excerpt": "-5 on omniscience? https://artificialanalysis.ai/evaluations/omniscience That's not particularly great. That said I love that they don't seem to restrict cyber capabilities to any degree and even lean into it. If the best model for cyber attacks is open for everyone to use it just makes us all safer I think. Of course you then also HAVE to use it or otherwise you're vulnerable, which is a great distribution play.", "context": "", "use_case": "", "switched_from": "", "story": "Mistral Large 4"}, {"id": 799652128, "item_id": 49978258, "url": "https://news.ycombinator.com/item?id=49978258", "by": "jakozaur", "date": "2026-10-06", "stance": "compare", "quote": "A strong competitor in cybersecurity as an alternative to GLM-5.3", "excerpt": "A strong competitor in cybersecurity as an alternative to GLM-5.3 (Mistral reports 82% on CyberGym-E2E). Visual grounding is also impressive (42% on Dense 200 vs. 41% for GPT-6 Astra). Otherwise, behind on the broader Pareto frontier, but not by much (Vals Index: 48.05% vs. GLM-5.3\u2019s 53.51%; $13.78 vs. $7.25 per test). Many companies will prefer it over Chinease models.", "context": "", "use_case": "cybersecurity", "switched_from": "", "story": "Mistral Large 4"}, {"id": 799650384, "item_id": 49978149, "url": "https://news.ycombinator.com/item?id=49978149", "by": "prodigycorp", "date": "2026-10-06", "stance": "recommend", "quote": "Definitely good enough to use as a daily driver over other llms", "excerpt": "Impressive vision benchmarking. If the vision model is truly as good as astra, that would make it best in the world. Also strong on cyber benchmarks (better than all chinese models), so this is a good defender model. Lots of people shitting of Mistral for no reason imo. These are pretty good numbers across the board. Definitely good enough to use as a daily driver over other llms, if you have moral qualms with the ot", "context": "", "use_case": "cybersecurity, vision", "switched_from": "", "story": "Mistral Large 4"}, {"id": 779857440, "item_id": 48741090, "url": "https://news.ycombinator.com/item?id=48741090", "by": "Confiks", "date": "2026-06-30", "stance": "recommend", "quote": "For writing and languange learning it's very decent, especially Mistral Large.", "excerpt": "For writing and languange learning it's very decent, especially Mistral Large. The pricing is very good too. I really like the consistently low time to first token and good token per second. Claude, especially in the past, would be very inconsistent, often with outages. Mistral mostly just always works and is very fast. Technical questions are unfortunately hit or miss. I'm lately pretty much always using a system pr", "context": "", "use_case": "writing and language learning", "switched_from": "", "story": "Leanstral 1.5"}]}