3 ms·

I am rooting for Mistral with their different approach: not really competing on the largest and advanced models, instead doing custom engineering for customers

I am rooting for Mistral with their different approach: not really competing on the largest and advanced models, instead doing custom engineering for customers and generally serving the needs of EU customers.

w4yai 7mo ago
Go Mistral !
jerrygoyal 7mo ago
their ocr model is goated
- stavros 7mo ago
  Better than Qwen? I guess the best overall is Gemini, right?
  - ph4rsikal 7mo ago
    Gemini? Not anywhere near.
  - thefounder 7mo ago
    Gemini is the worst
    - stavros 7mo ago
      Really? This article was gushing about it: https://generativehistory.substack.com/p/gemini-3-solves-handwriting-recognition https://generativehistory.substack.com/p/gemini-3-solves-han... Which one's the best?
- arushs 7mo ago
  [dead]
- SyneRyder 7mo ago
  Did they make significant improvements in OCR 3? The quality I was getting from Mistral OCR 2 was nowhere near as good as what I could get from just sending the same files to Claude Sonnet via an API call. I have been finding Voxtral useful though.
  - SyneRyder 7mo ago
    Too late to edit / update my comment, but I finally tried Mistral OCR 3 tonight on a PDF file I had. Results were good, and fast... but I actually got better quality output from sending it to Haiku 4.5 instead. In particular, Haiku 4.5 detected some footers that were on every page and moved them to be the footer at the end of the entire document instead, so that the document read more fluently. I imagine Mistral OCR 3 might have an edge on speed & pricing, but in my low volume / prioritizing-quality case, seems that Claude is still better than Mistral.
- oakpond 7mo ago
  probably yes. considering that even some of their non-ocr models can recognize my shitty handwritten math
doctorpangloss 7mo ago
first, there was .ai next, it sounds like it's going to be .eu but what about ai.eu
- fnord123 7mo ago
  > but what about ai.eu oh, .. why?
ChrisGreenHeur 7mo ago
I found it to be the best model if you want to talk about topics philosophical. It has no problems going deep and technical while other models tend to be afraid of overshooting the comprehension of the reader.
nicman23 7mo ago
also offering support for local deployments

w4yai 7mo ago

Go Mistral !

jerrygoyal 7mo ago

their ocr model is goated

stavros 7mo ago
Better than Qwen? I guess the best overall is Gemini, right?
- ph4rsikal 7mo ago
  Gemini? Not anywhere near.
- thefounder 7mo ago
  Gemini is the worst
  - stavros 7mo ago
    Really? This article was gushing about it: https://generativehistory.substack.com/p/gemini-3-solves-handwriting-recognition https://generativehistory.substack.com/p/gemini-3-solves-han... Which one's the best?
arushs 7mo ago
[dead]
SyneRyder 7mo ago
Did they make significant improvements in OCR 3? The quality I was getting from Mistral OCR 2 was nowhere near as good as what I could get from just sending the same files to Claude Sonnet via an API call. I have been finding Voxtral useful though.
- SyneRyder 7mo ago
  Too late to edit / update my comment, but I finally tried Mistral OCR 3 tonight on a PDF file I had. Results were good, and fast... but I actually got better quality output from sending it to Haiku 4.5 instead. In particular, Haiku 4.5 detected some footers that were on every page and moved them to be the footer at the end of the entire document instead, so that the document read more fluently. I imagine Mistral OCR 3 might have an edge on speed & pricing, but in my low volume / prioritizing-quality case, seems that Claude is still better than Mistral.
oakpond 7mo ago
probably yes. considering that even some of their non-ocr models can recognize my shitty handwritten math

doctorpangloss 7mo ago

first, there was .ai next, it sounds like it's going to be .eu but what about ai.eu

fnord123 7mo ago
> but what about ai.eu oh, .. why?

ChrisGreenHeur 7mo ago

I found it to be the best model if you want to talk about topics philosophical. It has no problems going deep and technical while other models tend to be afraid of overshooting the comprehension of the reader.

nicman23 7mo ago

also offering support for local deployments