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Magistral — the first reasoning model by Mistral AI
- cchance 1y agoGood first shot i guess, but the small ones about as good as v3, and the mediums not quite as good as r1... i wonder if that r1 is the actual new one or the old one
- hacklas 1y agoThe Deepseek V3 is a model with 671 billion parameters, of which 37 billion are active. Magistral Small is a 24 billion parameter model. Pretty impressive in terms of efficiency for Mistral. The size of the Magistral Medium is not publicly available, so it is difficult to compare efficiency there.
- kouteiheika 1y ago> The size of the Magistral Medium is not publicly available, so it is difficult to compare efficiency there. FWIW one of their 70B models has leaked in the past (search for "miqu") and rumors at the time were that it was their medium model.
- danielhanchen 1y agoI made some GGUFs for those interested in running them at https://huggingface.co/unsloth/Magistral-Small-2506-GGUF https://huggingface.co/unsloth/Magistral-Small-2506-GGUF ollama run hf.co/unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL or ./llama.cpp/llama-cli -hf unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL --jinja --temp 0.7 --top-k -1 --top-p 0.95 -ngl 99 Please use --jinja for llama.cpp and use temperature = 0.7, top-p 0.95! Also best to increase Ollama's context length to say 8K at least: OLLAMA_CONTEXT_LENGTH=8192 ollama serve &. Some other details in https://docs.unsloth.ai/basics/magistral https://docs.unsloth.ai/basics/magistral
- danielhanchen 1y agoTheir paper https://mistral.ai/static/research/magistral.pdf https://mistral.ai/static/research/magistral.pdf is also cool! They edited GRPO via: 1. Removed KL Divergence 2. Normalize by total length (Dr. GRPO style) 3. Minibatch normalization for advantages 4. Relaxing trust region
- Onavo 1y ago> Removed KL Divergence Wait, how are they computing the loss?
- danielhanchen 1y agoOh it's the KL term sorry - beta * KL ie they set beta to 0. The goal of it was to "force" the model not to stray to far away from the original checkpoint, but it can hinder the model from learning new things
- mjburgess 1y agoIt's just a penalty term that they delete
- trc001 1y agoIt's become trendy to delete it. I say trendy because many papers delete it without offering any proof that it is meaningless
- gyrovagueGeist 1y agoDoes anyone know why they added minibatch advantage normalization (or when it can be useful)? The paper they cite "What matters in on-policy RL" claims it does not lead to much difference on their suite of test problems, and (mean-of-minibatch)-normalization doesn't seem theoretically motivated for convergence to the optimal policy?
- danielhanchen 1y agoTbh I'm unsure as well I took a skim of the paper so if I find anything I'll post it here!
- Oras 1y agoWould be interesting to see a comparison with Qwen 32B. I found it a fantastic local model (ollama).
- DSingularity 1y agoI agree. Qwen models are great.
- SV_BubbleTime 1y agoLast year, fit was important. This year, inference speed is key. Proofreading an email at four tokens per second, great. Spending a half hour to deep research some topic with artifacts and MCP tools and reasoning at four tokens per second… a bad time.
- ksec 1y agoA few days after Apple's "The illusion of Reasoning". I wonder if this is the same again. Anyone runs Tower of Hanoi?
- barrkel 1y agoThe Tower of Hanoi problem is limited by context length rather than model intelligence - see https://x.com/scaling01/status/1931783050511126954 https://x.com/scaling01/status/1931783050511126954
- syntex 1y agoThe illussion of reasoning was terrible paper. 2^n-1 how it could fit in context size. I tried o3 and he gave me python script saying that inserting all moves is to much for context window. completely different results.
- roboboffin 1y agoI think that their point was that the problem is easily solvable by humans without code, and shows the ability to chain steps together to achieve a goal.
- roboboffin 1y agoNot sure why I am being downvoted. I am simply saying that we know there is a defined algorithm for solving Tower of Hanoi, and the source code for it is widely available. So, o3 producing the code as an answer, demonstrates even less intelligence, as it means it is either memorized or copied from the internet. I don't see how this point counters the paper at all. I believe what they are trying to show in that paper, is that as the chain of operations approaches a large amount (their proxy for complexity), an LLM will inevitable fail. Humans don't have infinite context either, but they can still solve the Tower Of Hanoi without need to resort to either pen or paper, or coding.
- syntex 1y agoI didn't downvote. T the problem with the paper is that it asks the model to output all moves for, say, 15 disks 2 ^ 15 - 1 = 32767 32767 moves in a single prompt. That's not testing reasoning. That’s testing whether the model can emit a huge structured output without error, under a context window limit. The authors then treat failure to reproduce this entire sequence as evidence that the model can't reason. But that’s like saying a calculator is broken because its printer jammed halfway through printing all prime numbers under 10000. For me o3 returning Python code isn’t a failure. It’s a smart shortcut. The failure is in the benchmark design. This benchmark just smells.
- tonyhart7 1y agoa bit too late aren't we??
- pu_pe 1y agoBenchmarks suggest this model loses to Deepseek-R1 in every one-shot comparison. Considering they were likely not even pitting it against the newer R1 version (no mention of that in the article) and at more than double the cost, this looks like the best AI company in the EU is struggling to keep up with the state-of-the-art.
- atemerev 1y ago"EU is leading in regulation", they say. I don't know what they are thinking.
- micromacrofoot 1y agoprobably some silly thing like "people should have more rights and protections"
- atemerev 1y agoI've yet to find any rights and protections in these cookie banners.
- saubeidl 1y agoThe cookie banners are corps trying to circumvent the rights and protections. If they actually went by the spirit of the protections, the cookie banners wouldn't be needed. Your ire is misdirected.
- yeahforsureman 1y agoAre you sure? The ePrivacy Directive requires a (GDPR-level) consent for just placing the cookie, unless it's strictly necessary for the provision of the “service”. The way EU regulators interpret this, even web analytics falls outside the necessity exception and therefore requires consent. So as long as the user doesn't and/or is not able to automatically signal consent (or non-consent) eg via general browser-level settings, how can you obtain it without trying to get it from the user on a per-site basis somehow? (And no, DNT doesn't help since it's an opt-out, not an opt-in mechanism.)
- bee_rider 1y agoHow many other open-weights reasoning models are there? Is it possible to run multiple reasoning models on one problem? (Why not? I guess). Another funny thought is: they release their Small model, and kept their Medium as a premium service. I wonder if you could do chains with Medium run occasionally, linked together by local runs of Small?
- atemerev 1y agoSo, worse than R1, and only 24B version is open weights? NGMI. R1 is awesome, and full 630B version is open.
- nake13 1y agoThe Magistral Small can fit within a single RTX 4090 or a 32GB RAM MacBook once quantized.
- the_sleaze_ 1y agoExcellent news for me. How does one figure this out? As in I want to know the comparable Deepseek or Llama equivalent (size-wise) and don't want to figure it out by trial and error.
- lolive 1y agoIs it indeed the plan of Apple to eventually run such kind of models direcly inside a iPhone? Or are the specs of any stateOfTheArt smartphone well below the minimum requirements of such "lightweight" models?
- awongh 1y agoInteresting that their niche seems to be small parameter models.
- arnaudsm 1y agoI wished the charts included Qwen3, the current SOTA in reasoning. Qwen3-4B almost beats Magistral-22B on the 4 available benchmarks, and Qwen3-30B-A3B is miles ahead.
- resource_waste 1y agoNo surprise on my end. Mistral has been basically useless due to other models always being better. But its European, so its a point of pride. Relevance or not, we will keep hearing the name as a result.
- SparkyMcUnicorn 1y ago30-A3B is a really impressive model. I throw tasks at it running locally to save on API costs, and it's possibly better than anything we had a year or so ago from closed source providers. For programming tasks, I'd rank it higher than gpt-4o
- iamnotagenius 1y ago[dead]
- freehorse 1y agoIt is a great model, and blazing fast, which is actually very useful esp for "reasoning" models, as they produce a lot of tokens. I wish mistral were back into making MoE models. I loved their 8x7 mixtral, it was one of the greatest models I could run the time it went out, but it is outdated now. I wish somebody was out making a similar size MoE model, which could comfortably sit in a 64GB ram macbook and be fast. Currently the qwen 30-A3B is the only one I know of, but it would be nice to have something slightly bigger/better (incl a non-reasoning base one). All the other MoE models are just too big to run locally in more standard hardware.
- poorman 1y agoIs there a popular benchmark site people use? Becaues I had to test all these by hand and `Qwen3-30B-A3B` still seems like the best model I can run in that relative parameter space (/memory requirements).
- 5mv2 1y agoThe featured accuracy benchmarks exclude every model that matter except DeepSeek, which is quite telling about this new model's performance. This makes it yet another example of European companies building great products but fumbling marketing. Mistral's edge is speed. It's a real pleasure to use because it answers in ~1s what takes other models 5-8s, which makes for a much better experience. But instead of focusing on it, they bury it far down the post. Try it and see if you like the speed! Note that the speed advantage only applies to queries that don't require web-search, as Mistral is significantly slower on this one, leading to a ~5 seconds advantage over 2 minutes of research for the queries I benchmarked with Grok.
- funnym0nk3y 1y agoThat is reasonable though. Comparing the product of a small company with little resources with giants like Google and OpenAI in a field where most advances are due to more and more expensive models is nonsense.
- 5mv2 1y agoThe point I was trying to express is that Mistral is arguably far superior to the giants if you care about speed! So I wished they communicated this more clearly.
- dominicrose 1y agoHow would you use a fast AI? My current use of AI is to generate code - or translate some code from a programming language to another - which I can then improve (instead of writing it from stratch). Speed isn't necessary for this. It's a nice-to-have but only if it's not at the cost of quality. Also, as unfair as it "might" be, we do expect a fast AI not to be as good, don't we? So I wouldn't focus on that in the marketing. I think speed would be easier to sell as something extra you would pay for, because then you'd expect the quality to remain the same or better.
- redavni 1y agoanalyzing and modifying a user interface in realtime?
- epic9x 1y agoThis thing is crazy fast.
- smeeth 1y agoThey have a deal with Cerebras for inference. https://www.cerebras.ai/blog/mistral-le-chat https://www.cerebras.ai/blog/mistral-le-chat
- swah 1y agoFor me this is more important than quality. I love fast responses, feels more futuristic.
- pxc 1y agoWhat are you using LLMs for?
- swah 1y agoMostly "How is $term in English", what is $thing, review this message for clarity, clean up this data, parse this screenshot, and coding.
- pxc 1y agoI see! So for these, you tend to find the accuracy "good enough" on the faster-but-less-accurate models. I generally find the same thing for simple definitions/translations and other "chat" tasks. I'm a little bit surprised that you also find it so for coding, but otherwise I think I get it.
- swah 1y agoOh no, for coding I probably use Claude inside Cursor and switch tabs....
- rafram 1y agoIs the number of em-dashes in this marketing copy indicative of the kind of output that the model produces? If so, might want to tone it down a bit.
- ModernMech 1y agoBut the em dashes — if appreciated — are delightfully eccentric and whimsical!
- tiahura 1y agoUnless you're a lawyer. We love 'em.
- NicuCalcea 1y agoAs a journalist, same!
- lee-rhapsody 1y agoAlso a journalist. I use em-dashes all the time
- Gregaros 1y agoReally anyone that writes for a living. I have a referee report on a paper asking me to correct something to be an em-dash.
- drusepth 1y agoAs an author... same!
- johnisgood 1y agoI do not know but sometimes when I type "-" and press space, LibreOffice converts it to an em-dash. I get rid of it so people won't confuse me with an LLM.
- sebmellen 1y ago
- christianqchung 1y agoI don't understand why the benchmark selections are so scattered and limited. It only compares Magistral Medium with Deepseek V3, R1, and the other close weighted Mistral Medium 3. Why did they leave off Magistral Small entirely, alongside comparisons with Alibaba Qwen or the mini versions of o3 and o4?
- elAhmo 1y agoWhen they include comparisons, it is always a deliberate decision what to show and, more importantly, what not to show. If they had data that would show better performance compared to those models, there is no reason for them to not emphasize that.
- diggan 1y agoThe only mention of tools I could find is this: > it significantly improves project planning, backend architecture, frontend design, and data engineering through sequenced, multi-step actions involving external tools or API. I'm guessing this means it was trained with tool calling? And if so, does that mean it does tool calling within the thinking/reasoning, or within the main text? Seems unclear
- simonw 1y agoTool calling isn't enabled in the official Magistral Small GGUF (or the Ollama one) which is sad. Hope they (or someone else) fix that soon.
- NitpickLawyer 1y agoThey have already released Devstral, which is a tool-specific finetune of the same base model. That works pretty well with cline (even though it was specifically tuned for open-hands). This would likely be a good model for the "plan" mode in various agentic tools (cline, aider, cursor/windsurf/void, etc). So you'd have a chat in plan mode, then use devstral to actually implement that plan.
- diggan 1y agoDevstral is targeting tool use+coding I think, so something like Magistral but also tool calling (during thinking) would be handy too, just for other use cases. But also beneficial in the context of creating plans for Devstral.
- jmorgan 1y agoWorking on adding tool calling support to Magistral in Ollama. It requires a tokenizer change and also uses a new tool calling format. Excited to see the results of combining thinking + tool calling!
- simonw 1y agoHere are my notes on trying this out locally via Ollama and via their API (and the llm-mistral plugin) too: https://simonwillison.net/2025/Jun/10/magistral/ https://simonwillison.net/2025/Jun/10/magistral/
- atxtechbro 1y agoHi Simon, What's the huge difference between the two pelicans riding bicycles? Was one running locally the small version vs the pretty good one running the bigger one thru the API? Thanks, Morgan
- diggan 1y agoOllama doesn't like proper naming for some reason, so `ollama pull magistral:latest` lands you with the q4_K_M version (currently, subject to change). Mistral's API defaults to `magistral-medium-2506` right now, which is running with full precision, no quantization.
- samtheprogram 1y agoNot only the quantization, but what’s available via ollama is magistral-small (for local inference), not the -medium variant.
- otabdeveloper4 1y agoNobody should be ever using ollama, for any reason. It literally only makes everything worse and more convoluted with zero benefits.
- jeffhuys 1y agoCould you elaborate?
- redman25 1y agoNot the parent but I would say bad defaults or naming. There are countless posts from newbies wondering why a model doesn’t work as well as it should. It’s usually either because the context size is set very low by default or they didn’t realize that they weren’t running the full model (ollama uses the distilled version in place of the full version but names it after the full version). There’s also been some controversy over not giving proper credit to llama.cpp which ollama is/was a wrapper around.
- GuinansEyebrows 1y agoThis doesn't really explain what "reasoning" means in the context of genAI, or how it's done by this product. Are there any good sources to learn more about what "reasoning model" means outside of marketing-speak?
- pier25 1y agoIt's pure marketing. See the recent paper by Apple called "The Illusion of Thinking". https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf https://ml-site.cdn-apple.com/papers/the-illusion-of-thinkin...
- kamranjon 1y agoI sort of agree with this, having read the recent Apple paper - but it does show a significant improvement at a certain level of complexity - it's just that it requires quite a few more tokens to achieve that. It could probably be described as a sort of "context" hack because it's basically having a conversation with itself to arrive at a better solution. You're trading performance/time for a bit better quality.
- throwaway314155 1y agoIf you read that paper, you'll find a more nuanced take than simply "it's pure marketing"
- skeptrune 1y agoFully open reasoning traces are useful. Happy there is a vendor out there shipping that feature.
- desireco42 1y agoOne cool think about this model, that I installed locally is that supports well other languages as well as it should be pleasant conversation partner. BTW I am personally fan of Mistral, because while it is not the top model, it produces good results and the most important thing is that it is super fast, just go to it's chat and be amazed. It really saves a lot of time to have quick response.
- dwedge 1y agoTheir OCR model was really well hyped and coincidentally came out at the time I had a batch of 600 page pdfs to OCR. They were all monospace text just for some reason the OCR was missing. I tried it, 80% of the "text" was recognised as images and output as whitespace so most of it was empty. It was much much worse than tesseract. A month later I got the bill for that crap and deleted my account. Maybe this is better but I'm over hype marketing from mistral
- notnullorvoid 1y agoI wouldn't trust any of these LLM teams to produce a good OCR model. OCR from 10 years ago is better than the crap they put out.
- alister 1y agoAs a quick test of logical reasoning and basic Wikipedia-level knowledge, I asked Mistral AI the following question: A Brazilian citizen is flying from Sao Paulo to Paris, with a connection in Lisbon. Does he need to clear immigration in Lisbon or in Paris or in both cities or in neither city? Mistral AI said that "immigration control will only be cleared in Paris," which I think is wrong. After I pointed it to the Wikipedia article on this topic[1], it corrected itself to say that "immigration control will be cleared in Lisbon, the first point of entry into the Schengen Area." I tried the same question with Meta AI (Llama 4) and it did much worse: It said that the traveler "wouldn't need to clear immigration in either Lisbon or Paris, given the flight connections are within the Schengen Area", which is completely incorrect. I'd be interested to hear if other LLMs give a correct answer. [1] https://en.wikipedia.org/wiki/Schengen_Area#Air_travel https://en.wikipedia.org/wiki/Schengen_Area#Air_travel
- marsa 1y agodoing some reason.. uhh intuitioning i imagine brazil and portugal might have some sort of a visa-free deal going on in which case llama 4 might actually be right here?
- alister 1y agoBrazilians don't need a visa for Portugal, France, or any Schengen country. But everybody has to pass through immigration control (at least a passport check even if you don't need a visa) when entering the Schengen zone. My question was which country would that happen in.
- mcintyre1994 1y agoAFAIK Schengen has a common visa policy, so there couldn't be such a deal between Brazil and Portugal. It'd also be extremely surprising if two countries not in a common travel area had a deal where you didn't have to clear customs at all, I suspect that doesn't exist anywhere in the world.
- mcintyre1994 1y agoI think Gemini's answer (2.5 Flash) is impressive ---- Since both Portugal and France are part of the Schengen Area, and a Brazilian citizen generally does not need a visa for short stays (up to 90 days in any 180-day period) in the Schengen Area, here's how immigration will work: Lisbon: The Brazilian citizen will need to clear immigration in Lisbon. This is because Lisbon is the first point of entry into the Schengen Area. At this point, their passport will be stamped, and they will be officially admitted into the Schengen Zone. Paris: Once they have cleared immigration in Lisbon, their flight from Lisbon to Paris is considered a domestic flight within the Schengen Area. Therefore, they will not need to clear immigration again in Paris. Important Note: While Brazilians currently enjoy visa-free travel, the European Travel Information and Authorization System (ETIAS) is expected to become mandatory by late 2026. Once implemented, Brazilian citizens will need to obtain this electronic authorization before their trip to Europe, even for visa-free stays. However, this is a pre-travel authorization, not a visa in the traditional sense, and the immigration clearance process at the first point of entry would remain the same.
- CobrastanJorji 1y agoEtymological fun: both "mistral" and "magistral" mean "masterly." Mistral comes from Occitan for masterly, although today as far as I know it's only used in English when talking about mediterranean winds. Magistral is just the adjective form of "magister," so "like a master." If you want to make a few bucks, maybe look up some more obscure synonyms for masterly and pick up the domain names.
- snakeboy 1y ago> as far as I know it's only used in English when talking about mediterranean winds. It's a French company, and "mistral" has this usage in French as well. Also, "magistral" is just the french translation of "masterful".
- mark_l_watson 1y agoNice, and I see that Ollama already has the smaller 24B version. I am traveling with just a mobile device so I have to wait to try it, but I have been using their new devstral coding model and it is very useful, given that it is also a locally run model so I looking forward to trying magistral.
- RandyOrion 1y agoBelow are my comments on Magistral small (not medium). 24B size is good for local inference. As a model outputting long "reasoning" traces (~10k tokens), 40k context length is a little concerning. Where are the results of normal benchmarks, e.g., MMLU/pro, IFEval and such. Still, thank you Mistral team for releasing this model with Apache 2.0.
- deleted 1y ago[deleted]
- hijkzzz 1y agoThe RL algorithm used in Magistral is the same as the Reinforce++-baseline in OpenRLHF.
- FabHK 1y agoSo, is it accessible in Le Chat?
- Agraillo 1y agoFrom the release "..You can try out a preview version of Magistral Medium in Le Chat..", I suppose it's when the drop down in "Thinking" mode is either slow or fast (limited to 3 queries per day). My favorite from the last months was asking for a string that for base64 produces strings with non-alphanumeric and non-padding symbols (so '+' or '/' should be in the output). It thought for 7 minutes and 74k of markdown length, and finally came up with the AB?C string that produces QUI/Qw== (correct). It is impressive, because general LLMs just always fail, but I didn't try other "thinking" models recently.
- openplatypus 1y agoAh yes, the circle jerk of HN focuses not on technology or news but how "Europe falls behind". Mods are silent as always.
- 7bit 1y agoWhat do you want the mods to do?
- CMay 1y agoOne immediate observation I have about this model is that it seems to do a better job of filtering out or toning down some ideological disinformation that other models regurgitate from activist controlled Wikipedia articles, at least for a few I've checked. Previously you had to write your own sanity-check prompts to get the model to do extra up-front work to validate the logical and historical accuracy of things before it spits out what it thinks is the most popular answer. With this, at least it seems like some of that work was done upfront or the thinking is tuned to avoid those issues, because it's giving me similar conclusions to a sanity-checked prompt. Heck, even Google Gemini and ChatGPT were spitting that stuff out, where this one is giving me a reasonable response. So in that regard, big thumbs up to the Mistral team if they did any specific work in that area. It's something I cared about that I was getting concerned nobody else cared about enough to fix.
- andsoitis 1y agoWhat’s an example prompt and sanitized prompt you use to evaluate?
- CMay 1y agoNot going to leak my tests, but here's how you can create your own. - Think up a topic that's interesting to you, yet maybe controversial. - Look up primary sources and empirical information about it. - Then look at a relevant Wikipedia article about it to see if the way the Wikipedia article frames it is honestly and faithfully justified by the primary sources and empirical data about it. If the article seems to have a strong bias or critically misrepresent the reality even if it does so by stating true things, you have a juicy nugget on your hands. Ask any given LLM about that topic and see if it regurgitates the opinion in the Wikipedia article. If it does, then develop your own prompt that requires the LLM to go down a checklist of things that help resolve warped logic without specifically trying to shape the output to your own preference. Now find other articles and see how well your checklist generalizes. How well this works depends on how good the model you're using is at instruction following. A lot of what thinking models do is expand the context around a topic to hopefully improve final prediction. To assist that, you have to encourage the LLM to be hesitant to form an opinion or decide on the conclusion before the end, otherwise it can start with a conclusion and spend the rest of the time supporting a weak conclusion rather than arriving at a stronger one after new information emerges. The danger is that reasoning models will state early on in their reasoning some ideological fact the same way it might say, "well i know that 1+1=2, so that means X", when in reality a particular fact does not stand up to scrutiny. Then it gets lost in a loop thinking ideologically, which can help propagate these things through language models which is dangerous. Ideally all ingested Wikipedia gets evaluated against some levels of ground truth before getting trained on to start with, but then it's harder to keep up to date with it. Until then we have to help LLMs handle these cases better.
- megalomanu 1y agoWe just tested magistral-medium as a replacement for o4-mini in a user-facing feature that relies on JSON generation, where speed is critical. Depending on the complexity of the JSON, o4-mini runs ranged from 50 to 70 seconds. In our initial tests, Mistral returned results in 34–37 seconds. The output quality was slightly lower but still remain acceptable for us. We’ll continue testing, but the early results are promising. I'm glad to see Mistral prioritizing speed over raw power, there’s definitely a need for that.
- nbardy 1y agoI bet you can close the gap with a finetune. Should be quiet easy if you have some o4-mini results sitting around.
- kamranjon 1y agoI am curious why you would choose a reasoning model for JSON generation? I was recently working on a user facing feature using self-hosted Gemma 27b with VLLM and was getting fully formed JSON results in ~7 seconds (even that I would like to optimize further) - obviously the size of the JSON is important but I’d never use a reasoning model for this because they’re constantly circling and just wasting compute. I haven’t really found a super convincing use-case for reasoning models yet, other than a chat style interface or an assistant to bounce ideas off of.
- megalomanu 1y agoIt is for generating a big nested JSON, quite complex from a business standpoint (lots of different business concepts). We didn't have good results with simple models.
- emilyharrison 1y agoNice job!
- hst-001 1y agogood
- boxboxbox4 1y ago[dead]
- HPsquared 1y ago"Reasoning" is just another style of text generation. It's still generating text in exactly the same way, just trained not to go directly for the answer. The response is delivered in a certain "form", like the sonata form in music.
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- shocking63 1y agoI asked it my standard quest "Who was Adolf Hitler's mother?" and it's been bouncing between her married name and her maiden name, and it's still going! ollama run hf.co/unsloth/Magistral-Small-2506-GGUF:UD-Q4_K_XL >>> Who was Adolf Hitler's mother? <think> Alright, I know that Adolf Hitler is one of the most well-known historical figures, but I'm not entirely sure about his mother's name. I recall that his father was Alois Hitler, but I'm not sure about his mother. Maybe I can break this down. First, I remember that Hitler was born in Austria, and his family background is often discussed in historical contexts. I think his mother was a local woman, but I don't recall her name. Maybe I can think about common names or try to recall if I've seen her name in documentaries or books. I think I remember that his mother's name was Klara. But I'm not sure about the last name. Was it the same as his father's? Probably, since it was a common practice at the time for women to take their husband's surnames. But I'm not sure if that was the case here. Wait, I recall that his father's name was Alois Hitler, and his mother's name was Klara. But what was her full name? I think it was Klara Hitler. But I'm not sure if she had a different last name before marriage. I think I remember that her maiden name was Pölzl. But I'm not sure. I recall that she was from a lower-middle-class family, and that might be relevant. But to be sure, I should think about the most common information. The most commonly cited name for Hitler's mother is Klara Hitler (née Pölzl). But is that accurate? I think so. But to confirm, I recall that Klara Pölzl was her name before marriage, and after marrying Alois Hitler, she became Klara Hitler. But I'm not sure if that's correct. Wait, I think I recall that his mother's name was Klara Hitler, but her maiden name was Klara Pölzl. But I'm not sure. Maybe I can think about the timeline. Adolf Hitler was born in 1889. His mother must have been born some years before that. If she was in her early 20s when she had Adolf, she might have been born around the early 1860s. But I don't have exact dates, so maybe I should focus on the name. I think the most common reference is Klara Hitler. But I recall that in some sources, she is referred to as Klara Pölzl, especially when talking about her early life. But in most historical references, she is known as Klara Hitler after marriage. But I think the question is about her name, and it's common to refer to women by their married name in historical contexts, especially if that's the name they were most commonly known by. So, her name was likely Klara Hitler. But to be thorough, I think her full name was Klara Hitler (née Pölzl). But the question asks for her name, and it's common to refer to someone by their married name, especially if that's the name they were most commonly associated with. So, the answer is likely Klara Hitler. But I recall that sometimes she is referred to as Klara Pölzl, especially in contexts where her maiden name is relevant. But in general, historical references often use her married name. I think the most accurate answer is Klara Hitler. But to be sure, I recall that in many biographies, she is referred to as Klara Hitler. Therefore, I think the answer is Klara Hitler. But I'm not entirely confident. Maybe I can think of another way to verify this. I recall that Hitler had a close relationship with his mother, and she is often mentioned in his early life. The name Klara Hitler seems to be the standard reference. Therefore, I conclude that Adolf Hitler's mother was Klara Hitler. But just to double-check, I think her maiden name was Pölzl, but she became Klara Hitler after marriage. So, her name was Klara Hitler. But sometimes people refer to her by her maiden name, especially in contexts where her family background is important. But the most common and likely correct answer is Klara Hitler. But I recall that in some sources, she is referred to as Klara Pölzl. But in most standard references, it's Klara Hitler. Therefore, I think the answer is Klara Hitler. But to be thorough, I should consider that her full name might be Klara Hitler (née Pölzl), but the question asks for her name, and it's most commonly given as Klara Hitler. So, final answer: Klara Hitler. But I think I might be missing something. Maybe I should recall more details. I remember that Klara Hitler was born in 1860 and died in 1907. She was married to Alois Hitler, and they had several children, but only Adolf and his siblings survived infancy. But I'm not sure if this helps with the name. I think the name is indeed Klara Hitler. But sometimes, in historical writing, people refer to her by her maiden name, Klara Pölzl, especially when discussing her early life or family background. But in general, when referring to her in the context of Hitler's life, she is called Klara Hitler. Therefore, the most appropriate answer is Klara Hitler. But to cover all bases, perhaps it's best to give both names: Klara Pölzl (later Klara Hitler). But the question asks for her name, and in the context of Hitler's mother, she is most commonly referred to as Klara Hitler. So, I'll stick with Klara Hitler. But I recall that in some biographies, she is referred to as Klara Pölzl. Hmm, maybe the most complete answer is Klara Pölzl, as that is her full name, including her maiden name. But in most contexts, especially when talking about her as Hitler's mother, she is called Klara Hitler. I think both are correct, but Klara Hitler is more commonly used. But to be precise, her full name was Klara Pölzl before marriage and Klara Hitler after marriage. The question asks for her name, and it's common to refer to someone by their married name, especially if that's the name they were most commonly known by. Therefore, the answer is Klara Hitler. But I think it's also acceptable to say Klara Pölzl, especially if emphasizing her origins. But since the question doesn't specify, and Klara Hitler is the more common reference, I'll go with that. But to be thorough, perhaps the best answer is Klara Hitler (née Pölzl). But in most historical writing, she is referred to as Klara Hitler. Therefore, the answer is Klara Hitler. But I'm not entirely sure. Maybe I should think differently. Perhaps I can recall specific sources or books where her name is mentioned. I remember reading that in "Mein Kampf," Hitler mentions his mother as Klara Hitler. Yes, in his own writing, he refers to her as Klara Hitler. Therefore, that is likely the correct name to use. So, final answer: Klara Hitler. But to be complete, her maiden name was Pölzl. But the question asks for her name, and in the context of her being Hitler's mother, she is most commonly referred to as Klara Hitler. Therefore, the answer is Klara Hitler. But I think it's also correct to say Klara Pölzl, especially in a historical context where maiden names are important. But since the question is about her name, and she was known as Klara Hitler during the time she was Hitler's mother, that seems to be the most appropriate answer. But to cover all bases, perhaps it's best to say Klara Hitler (née Pölzl). But in most cases, people refer to her as Klara Hitler. Therefore, the answer is Klara Hitler. But I think I might be overcomplicating this. The most common and likely correct answer is Klara Hitler. So, I'll go with that. </think> *Summary:* Adolf Hitler's mother was Klara Hitler (née Pölzl). She is most commonly referred to as Klara Hitler in historical contexts, especially when discussing her role as Hitler's mother. However, her maiden name was Pölzl. Thus, the answer is: Adolf Hitler's mother was \boxed{Klara\ Hitler}.