201–210 of 243 posts
Anyone else find that despite Gemini performing best on benches, it's actually still far worse than ChatGPT and Claude? It seems to hallucinate nonsense far more frequently than any of the others. Feels like Google just bench maxes all day every day. As for Mistral, hopefully OSS can eat all of their lunch soon enough.
I don't like being this guy, but I think Deepseek 3.2 stole all the thunder yesterday. Notice that these comparisons are to Deepseek 3.1. Deepseek 3.2 is a big step up over 3.1, if benchmarks are to be believed. Just unfortunate timing of release. https://api-docs.deepseek.com/news/news251201
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Mistral are mostly focusing on b2b, and for customers that want to self-host (banks and stuff). So their founders being from Meta, or where their cloud platform are hosted, are entirely irrelevant to the story.
The fact they would not exist without the leeches and built their business on the leeches is irrelevant. Pan-nationalism is a hell of a drug: a company that does not know you exist puts out an objectively awful release, and people take frank discussion of it as a personal slight.
I am not sure why Meta paid 13B+ to hire some kid vs just hiring back or acquiring these folks. They'll easily catch up.
What is this referring to? I googled and the company was founded in 2016. No one involved can to a “kid”?
The 3B vision model runs in the browser (after a 3GB model download). There's a very cool demo of that here: https://huggingface.co/spaces/mistralai/Ministral_3B_WebGPU Pelicans are OK but not earth-shattering: https://simonwillison.net/2025/Dec/2/introducing-mistral-3/
Ouch
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Some time ago I canceled all my paid subscriptions to chatbots because they are interchangeable so I just rotate between Grok, ChatGPT, Gemini, Deepseek and Mistral. On the API side of things my experience is that the model behaving as expected is the greatest feature. There I also switched to Openrouter instead of paying directly so I can use whatever model fits best. The recent buzz about ad-based chatbot services…
> I guess they hope I forget to cancel. Business model of most subscription based services.
I feel like at least for normies if they are familiar with ChatGPT, it might be hard to make them switch especially if they are subscribed.
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All thanks to the US VCs that acutally have money to fund Mistral's entire business. Had they gone to the EU, Mistral would have gotten a miniscule grant from the EU to train their AI models.
I mean, one is a government, the other are VCs (also, I would be shocked if there isn't some French gov funding somewhere in the massive mistral pile).
There is a bit of it, yes, although how much exactly is difficult to know. It’s not all tax breaks and subventions; several public agencies are using it, including in the army so finding out the details is not trivial.
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> Do you disagree with that? I think that Qwen3 8B and 4B are SOTA for their size. The GPQA Diamond accuracy chart is weird: Both Qwen3 8B and 4B have higher scores, so they used this weid chart where "x" axis shows the number of output tokens. I missed the point of this.
Generation time is more or less proportional to tokens * model size, so if you can get the same quality result with fewer tokens from the same size of model, then you save time and money.
I use large language models in http://phrasing.app to format data I can retrieve in a consistent skimmable manner. I switched to mistral-3-medium-0525 a few months back after struggling to get gpt-5 to stop producing gibberish. It's been insanely fast, cheap, reliable, and follows formatting instructions to the letter. I was (and still am) super super impressed. Even if it does not hold up in benchmarks, it still out…
This is my experience as well. Mistral models may not be the best according to benchmarks and I don't use them for personal chats or coding, but for simple tasks with pre-defined scope (such as categorization, summarization, etc.) they are the option I choose. I use mistral-small with batch API and it's probably the best cost-efficient option out there.