I think they've buried the lede with their image editing capabilities, which seem to be very good! OpenAI's model will change the whole image while editing messing up details in unrelated areas. This seems to perfectly preserve parts of the image unrelated to your query and selectively apply the edits, which is very impressive! The only downside is the output resolution (the resulting image is 1184px wide even though the input image was much larger).
For a quick test I've uploaded a photo of my home office and asked the following prompt: "Retouch this photo to fix the gray panels at the bottom that are slightly ripped, make them look brand new"
I think it did a fantastic job. The output image quality is ever so slightly worse than the original but that's something they'll improve with time I'm sure.
I’m struggling with MRF. Model Release Fatigue. It’s a syndrome of constantly context switching new large models. Claude 4, gpt, llama, Gemini 2.5, pro-mini, mistrial.
I fire off the ide switch the model and think oh great this is better. I switch to something that worked before and man, this sucks now.
I've been trying to use other LLM providers than OpenAI over the past few weeks: Claude, Deepseek, Mistral, local Ollama ...
While Mistral might not have the best LLM performances, their UX is IMO the best, or at least a tie with OpenAI's:
- I never had any UI bug, while these were common with Claude or OpenAI (e.g. a discussion disappearing, LLM crashing mid-answer, long context errors on Claude ...);
- They support most of the features I liked from OpenAI, such as libraries and projects;
- Their app is by far the fastest, thanks to their fast reply feature;
At this point, the entire AI industry seems to just copy OpenAI for the most part. I cannot help but notice that we have the same services just offered by different companies. The amount of innovation in this build is not that high actually.
The Voxtral release seemed interesting, because it brought back competitive open source audio transcription. I wonder if it was necessary to have an LLM backbone (vs a pure-function model) though, but the approach is interesting.
The examples aren't great. The personal planning one for example answers the prompt better without deep research than with (with answers only the Visas point)
If you haven't tried OpenAI's deep research feature, you are missing out. I'm not sure of any good alternatives, I've tried Google's, and I'm not impressed.
There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.
At this point I care far more about an open (and credibly ethically-sourced) data model than open code, open weights or whatever. I wanna use models that can tell me whether or not a resource I’m pointing to is in its training data or not.
Does anyone have a good way for doing high-stakes deep research across a number of models? i.e. send to OpenAI, Anthropic, Gemini then evaluate (perhaps LLM as judge)? Does that yield some performance uplift or make it worse?
Mistral Releases Deep Research, Voice, Projects in Le Chat
(mistral.ai)659 points by pember 17 July 2025 | 146 comments
Comments
For a quick test I've uploaded a photo of my home office and asked the following prompt: "Retouch this photo to fix the gray panels at the bottom that are slightly ripped, make them look brand new"
Input image (rescaled): https://i.imgur.com/t0WCKAu.jpeg
Output image: https://i.imgur.com/xb99lmC.png
I think it did a fantastic job. The output image quality is ever so slightly worse than the original but that's something they'll improve with time I'm sure.
I fire off the ide switch the model and think oh great this is better. I switch to something that worked before and man, this sucks now.
Context switching llm, Model Release Fatigue
While Mistral might not have the best LLM performances, their UX is IMO the best, or at least a tie with OpenAI's:
- I never had any UI bug, while these were common with Claude or OpenAI (e.g. a discussion disappearing, LLM crashing mid-answer, long context errors on Claude ...);
- They support most of the features I liked from OpenAI, such as libraries and projects;
- Their app is by far the fastest, thanks to their fast reply feature;
- They allow you to disable web-search.
There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.