4 ms·

I don’t know a single person using Mistral models.

by elAhmo 7mo ago

pelagicAustral 7mo ago
Me neither, they're not ready for prime imo. I have a yearly sub and the product is just orders of magnitude behind Anthropic's offering. I use Code for real world stuff and I am happy with the result, Mistral is just not something I can trust right now.
consumer451 7mo ago
Isn't their latest speech to text model SOTA? When I tested it on jargon, it was amazing. https://news.ycombinator.com/item?id=46886735 https://news.ycombinator.com/item?id=46886735
- troyvit 7mo ago
  I'm using this model for my first python project, coding using opencode along with devstral and Mistral Large 3. I know it's not as capable as other, more expensive models, but working with it this way is teaching me python. More directly to your point though, the speech to text model is really good. It's funny because I just took a break from it to read some hn and found this post.
Adrig 7mo ago
I used Ministral for data cleaning. I was surprised: even tho it was the cheapest option (against other small models from Anthropic) it performed the best in my benchmarks.
- Bombthecat 7mo ago
  Mistral is super smart in smaller context and asking questions about it
nimchimpsky 7mo ago
[dead]
badsectoracula 7mo ago
Pretty much all of my LLM usage has been using Mistral's open source models running on my PC. I do not do full agentic coding as when i tried it with Devstral Small 2 it was a bit too slow (though if i could get 2-3 times the speed of my PC from a second computer it'd be be a different story and AFAIK that is doable if i was willing to spend $2-3k on it). However i've used Mistral's models for spelling and grammar checks[0], translations[1][2], summaries[3] and trying to figure out if common email SPAM avoidance tricks are pointless in the LLM age :-P [4]. FWIW that tool you can see in the shots is a Tcl/Tk script calling a llama.cpp-based command-line utility i threw together some time ago when experimenting with llama.cpp. I've also used Devstral Small to make a simple raytracer[5][6] (it was made using the "classic" chat by copy/pasting code, not any agentic approach and i did fix bits of it in the process) and a quick-and-dirty "games database" in Python+Flask+Sqlite for my own use (mainly a game backlog DB :-P). I also use it to make various small snippets, have it generate some boilerplate stuff (e.g. i have an enum in C and want to write a function that prints names for each enum value or have it match a string i read from a json file with the appropriate enum value), "translate" between languages (i had it recently convert some matrix code that i had written in Pascal into C), etc. [0] https://i.imgur.com/f4OrNI5.png https://i.imgur.com/f4OrNI5.png [1] https://i.imgur.com/Zac3P4t.png https://i.imgur.com/Zac3P4t.png [2] https://i.imgur.com/jPYYKCd.png https://i.imgur.com/jPYYKCd.png [3] https://i.imgur.com/WZGfCdq.png https://i.imgur.com/WZGfCdq.png [4] https://i.imgur.com/ytYkyQW.png https://i.imgur.com/ytYkyQW.png [5] https://i.imgur.com/FevOm0o.png https://i.imgur.com/FevOm0o.png (screenshot) [6] https://app.filen.io/#/d/e05ae468-6741-453c-a18d-e83dcc3de926%23415872384d784541457577707773433048564d4a6c7a76503366617755666c34 https://app.filen.io/#/d/e05ae468-6741-453c-a18d-e83dcc3de92... (C code) [7] https://i.imgur.com/BzK8JtT.png https://i.imgur.com/BzK8JtT.png
Fnoord 7mo ago
I use them solely.
ainch 7mo ago
That's likely because they're chasing enterprise - see deals with HSBC, ASML, AXA, BNP Paribas etc... Given swelling anti-US sentiment and their status as a French 'national champion', Mistral are probably in a strong position for now regardless of model performance, research quality or consumer uptake.
brainless 7mo ago
I'm building a knowledge graph on personal data (emails, files) with Ministral 3:3b. I try with Qwen 3.5:4b as well but mostly Ministral. Works really well. Extracts companies you have dealt with, people, topics, events, locations, financial transactions, bills, etc.

I don’t know a single person using Mistral models.

by elAhmo 7mo ago

I don’t know a single person using Mistral models.

Me neither, they're not ready for prime imo. I have a yearly sub and the product is just orders of magnitude behind Anthropic's offering. I use Code for real world stuff and I am happy with the result, Mistral is just not something I can trust right now.

consumer451 7mo ago

Isn't their latest speech to text model SOTA? When I tested it on jargon, it was amazing. https://news.ycombinator.com/item?id=46886735 https://news.ycombinator.com/item?id=46886735

troyvit 7mo ago
I'm using this model for my first python project, coding using opencode along with devstral and Mistral Large 3. I know it's not as capable as other, more expensive models, but working with it this way is teaching me python. More directly to your point though, the speech to text model is really good. It's funny because I just took a break from it to read some hn and found this post.

Adrig 7mo ago

I used Ministral for data cleaning. I was surprised: even tho it was the cheapest option (against other small models from Anthropic) it performed the best in my benchmarks.

Bombthecat 7mo ago
Mistral is super smart in smaller context and asking questions about it

nimchimpsky 7mo ago

[dead]

badsectoracula 7mo ago

Pretty much all of my LLM usage has been using Mistral's open source models running on my PC. I do not do full agentic coding as when i tried it with Devstral Small 2 it was a bit too slow (though if i could get 2-3 times the speed of my PC from a second computer it'd be be a different story and AFAIK that is doable if i was willing to spend $2-3k on it). However i've used Mistral's models for spelling and grammar checks[0], translations[1][2], summaries[3] and trying to figure out if common email SPAM avoidance tricks are pointless in the LLM age :-P [4]. FWIW that tool you can see in the shots is a Tcl/Tk script calling a llama.cpp-based command-line utility i threw together some time ago when experimenting with llama.cpp. I've also used Devstral Small to make a simple raytracer[5][6] (it was made using the "classic" chat by copy/pasting code, not any agentic approach and i did fix bits of it in the process) and a quick-and-dirty "games database" in Python+Flask+Sqlite for my own use (mainly a game backlog DB :-P). I also use it to make various small snippets, have it generate some boilerplate stuff (e.g. i have an enum in C and want to write a function that prints names for each enum value or have it match a string i read from a json file with the appropriate enum value), "translate" between languages (i had it recently convert some matrix code that i had written in Pascal into C), etc. [0] https://i.imgur.com/f4OrNI5.png https://i.imgur.com/f4OrNI5.png [1] https://i.imgur.com/Zac3P4t.png https://i.imgur.com/Zac3P4t.png [2] https://i.imgur.com/jPYYKCd.png https://i.imgur.com/jPYYKCd.png [3] https://i.imgur.com/WZGfCdq.png https://i.imgur.com/WZGfCdq.png [4] https://i.imgur.com/ytYkyQW.png https://i.imgur.com/ytYkyQW.png [5] https://i.imgur.com/FevOm0o.png https://i.imgur.com/FevOm0o.png (screenshot) [6] https://app.filen.io/#/d/e05ae468-6741-453c-a18d-e83dcc3de926%23415872384d784541457577707773433048564d4a6c7a76503366617755666c34 https://app.filen.io/#/d/e05ae468-6741-453c-a18d-e83dcc3de92... (C code) [7] https://i.imgur.com/BzK8JtT.png https://i.imgur.com/BzK8JtT.png

Fnoord 7mo ago

I use them solely.

ainch 7mo ago

That's likely because they're chasing enterprise - see deals with HSBC, ASML, AXA, BNP Paribas etc... Given swelling anti-US sentiment and their status as a French 'national champion', Mistral are probably in a strong position for now regardless of model performance, research quality or consumer uptake.

brainless 7mo ago

I'm building a knowledge graph on personal data (emails, files) with Ministral 3:3b. I try with Qwen 3.5:4b as well but mostly Ministral. Works really well. Extracts companies you have dealt with, people, topics, events, locations, financial transactions, bills, etc.