Mistral
The most recommended of 10 LLM APIs
Recommended as a European, open-weight AI provider with EU data residency, on-prem deployment and fast responses, though critics say its models trail US and Chinese frontier models.
Recommended as a European, open-weight AI provider with EU data residency, on-prem deployment and fast responses, though critics say its models trail US and Chinese frontier models.
559 people gave an opinion
- recommend it
- 314
- criticize it
- 245
- approval share
- 56%
Recommended in 13 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: recommended (month in progress)
Owned for 6 months
Median of the 9 owners who said how long they have had it.
Each square is one year.
Why it doesn’t carry the badge
- 314 people recommend itNeeds 10 or more, met.
- 1.2 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 13 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
European sovereignty and data residency
“it's European with European inference, which solves the pains of all my clients trying to build data lakes and processes on top of it.”
Comment from 6 Oct 2026 in “Mistral Large 4” “it's good to know that it can't threaten to cut access to models during s period where everyone is rushing to incorporate them”
Comment from 6 Oct 2026 in “Mistral Large 4” “the public list of Mistral customers is proof alone that quite a few big EU companies are _not_ in fact using Open AI”
Comment from 18 Mar 2026 in “Mistral AI Releases Forge” - Comment from 18 Mar 2026 in “Mistral AI Releases Forge”
- Comment from 8 Sep 2026 in “Mistral raises €3B”
- Comment from 8 Jul 2026 in “Mistral's Robostral Navigate: a state of the art robotics navigation model”
Open-weight models
“If they already have Mistral on the list of approved vendors, they can now just switch to the most recent open weight LLM”
Comment from 29 Oct 2026 in “We're releasing the weights of Mistral Large 4” “its important to support open models wherever they come from and smaller players like mistral in france”
Comment from 26 Jun 2026 in “Previewing GPT‑5.6 Sol: a next-generation model” “They consistently have a top model on benchmarks such as LiveBench and their models are open source.”
Comment from 19 Feb 2026 in “European Tech Alternatives” Good enough for everyday work
“I use it as my workhorse for coding and general chat questions, because it's good enough 80% of the time”
Comment from 1 Jul 2026 in “Leanstral 1.5” “it's good enough for data analytics, and at this rate I suspect it'll be excellent in another few months”
Comment from 6 Oct 2026 in “Mistral Large 4” “Impressive if these benches hold up to real world use. Not groundbreaking, but certainly in the game.”
Comment from 21 Oct 2026 in “Mistral Large 4”
What people warn about
Each mark is one comment
Lags behind frontier models
“there is no reason to use a structurally slower developing model from mistral compared to using one from openai”
Comment from 6 Oct 2026 in “Mistral Large 4” “their capabilities are extremely narrow and generally perform terribly when faced with issues outside comparatively narrow training data”
Comment from 5 Aug 2026 in “Mistral's Shieldstral: 3B open-weights model for multimodal moderation” “Mistral and Cohere have the same problem, yes they are made in different countries but they are not competitive.”
Comment from 3 Oct 2026 in “Kolibri: A Sovereign Open-Weight Model” - Comment from 30 Dec 2025 in “CEOs are hugely expensive. Why not automate them?”
Fallen into irrelevance
“Mistral was out of the game a long time ago now that does not mean they will close down or will not be profitable”
Comment from 15 Sep 2026 in “German companies rely almost exclusively on AI models and services from the USA” “Mistral is an embarrassment and clear proof that Europe needs to review its mechanisms for growing and retaining tech talent.”
Comment from 19 Oct 2026 in “Timestral: Mistral's time-series foundation models” “It's kind of sad that the only European LLM lab of significance is not even setting their model as a default one any longer.”
Comment from 30 Sep 2026 in “Most data centers refusing to say how much water, electricity they use” - Comment from 8 Sep 2026 in “Mistral raises €3B”
Seen as EU policy mouthpiece
“they seem to be a "friendly EU AI provider" who are really an EU mouthpiece for regulation and stifling competition”
Comment from 10 Aug 2026 in “Mistral Patent for "Code implemented tool calls"” “at some point it seems like they stopped focusing on AI and shifted their focus to being a mouthpiece for EU policy”
Comment from 12 Apr 2026 in “European AI. A playbook to own it. By Mistral” Hallucinations and inconsistent quality
“The Mistral models, IMO, are very hit or miss, and I was about to cancel my sub until I saw they added GLM.”
Comment from 2 Sep 2026 in “Can I opt out of my input or output data being used for training?” “completely and utterly hallucinating everything and producing just something that looks like code but could never even compile”
Comment from 3 Dec 2025 in “Mistral 3 family of models released”
Other LLM APIs people recommend
The four most recommended other LLM APIs, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| MistralThis page | 314 | 245 | 56% | 13 | 6 mo9 owners | — |
| DeepSeek API | 171 | 56 | 75% | 11 | 1 mo9 owners | Approved |
| OpenAI API | 166 | 286 | 37% | 13 | 9 mo7 owners | — |
| Anthropic API | 58 | 126 | 32% | 12 | — | — |
| System One Models by TypeSafe | 37 | 7 | 84% | 2 | — | — |
What people said
40 of the 725 comments that mention it, newest first. Each links to the original comment.
“If they already have Mistral on the list of approved vendors, they can now just switch to the most recent open weight LLM”
“Impressive if these benches hold up to real world use. Not groundbreaking, but certainly in the game.”
“visual intelligence capabilities are better than Deepseek 4.1 Flash, even though coding is not equal to DS 4.1 1017”
“Mistral is an embarrassment and clear proof that Europe needs to review its mechanisms for growing and retaining tech talent.”
“I dont even bother asking opus those kind of questions when I know deepseek-4.1-flash or glm-5.3* or mistral-large-4 will give the proper solution”
“the leap from Mistral Large 3 (their previous best model) to Mistral Large 4 was similar to the Haiku 4.5 to 5.5 jump”
“It's better than I expected for Mistral. That said, it hardly seems like the innovative underdog some comments here make it out to be.”
“Very verbose and starts to forget instructions after awhile it seems, but it gave me quite a lot of good info”
“when I try out Mistral, it is snappy! Like basically instant responses that seem faster and better in quality than ChatGPT on instant mode”
“it's good enough for data analytics, and at this rate I suspect it'll be excellent in another few months”
“They're essentially borrowing Chinese open source distillation/innovation off the US frontier running on US/Taiwanese designed chips and calling it EU made. This is better than nothing of course.”
“it's European with European inference, which solves the pains of all my clients trying to build data lakes and processes on top of it.”
“there is no reason to use a structurally slower developing model from mistral compared to using one from openai”
“it's good to know that it can't threaten to cut access to models during s period where everyone is rushing to incorporate them”
“Mistral and Cohere have the same problem, yes they are made in different countries but they are not competitive.”
“It's kind of sad that the only European LLM lab of significance is not even setting their model as a default one any longer.”
“Mistral was out of the game a long time ago now that does not mean they will close down or will not be profitable”
“Mistral isn't benchmaxxing. That doesn't mean they're better, but it does mean the benchmark gap not a good reflection of the actual gap”
“Independence from the USA's CLOUD Act, secret FISA courts, and ICC-style disabling of important services.”
“there is no plausible explanation for Mistral's fall into irrelevance other than having to deal with regulatory burden”
“The Mistral models, IMO, are very hit or miss, and I was about to cancel my sub until I saw they added GLM.”
“they seem to be a "friendly EU AI provider" who are really an EU mouthpiece for regulation and stifling competition”
“their capabilities are extremely narrow and generally perform terribly when faced with issues outside comparatively narrow training data”
“They also diversify their stakeholders more and in general just have a different focus than your OpenAIs and Anthropics.”
“They are already a great fit for EU companies, and are establishing a good relationship with them.”
“Considering the (apparent) heaps of money and brains thrown at GROK I'd argue MISTRAL is relatively futher ahead.”
“I use it as my workhorse for coding and general chat questions, because it's good enough 80% of the time”
“its important to support open models wherever they come from and smaller players like mistral in france”
“aren't throwing billions down the drain while American society lacks healthcare, childcare, and good wages”
“What mistral does well and others are lagging behind is deploying on prem with their engineers and know-how”
“it's even better to haver less capable model because it forces you to do a better description of what you want”
“their models are in-between the cheap to run Chinese models and top of the line performances of US frontier models”
“at some point it seems like they stopped focusing on AI and shifted their focus to being a mouthpiece for EU policy”
“the public list of Mistral customers is proof alone that quite a few big EU companies are _not_ in fact using Open AI”
“ASML, Stellantis, AXA, BNP Paribas, the French ministry of defense, Helsing, SNCF, ... are all Mistral AI customers.”
“their platform allows me to just upload a training set and as soon as it finishes I have a hosted model available at an endpoint”
“It has no problems going deep and technical while other models tend to be afraid of overshooting the comprehension of the reader.”
“They consistently have a top model on benchmarks such as LiveBench and their models are open source.”
“Companies like mistral produce clever models but they're functionally just not on the level of things like Grok”
“completely and utterly hallucinating everything and producing just something that looks like code but could never even compile”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.