u/Confident-Village190

And thank goodness they cut Luna’s price back then, thereby giving subscribers even more value for money.

Well, it lasted less than two weeks; now Luna Max, which used to use up 1 per cent of my quota for every hour of work, is now using up 8–9 per cent an hour. Same tasks, same codebase, same everything. It’s unbelievable, if they hadn’t reduced the price, how much would it have been using then, 30 per cent an hour? 😂 What on earth are you lot up to in there? A reset will never sort anything out; you need to fix this straight away and go back to how it was yesterday, don’t take the mick out of us.

P.S All of this happened after this morning’s reset (at around 5 am in the EU), immediately afterwards, so it had already been scheduled by you.

OVH, your customer service is third-world standard, do something about it!

You don’t seem like a company operating in 2026 at all, what are you playing at?

The limits have changed, it’s true, and I’ve complained about it on several occasions.

However, I don’t think we should feel sorry for ourselves and just stand still whilst we complain about sorting this situation out 😂.

This situation has made me realise that we’re very lucky to have alternatives.

For my part, I use the free OpenCode or OpenRouter models when I’m close to reaching my Codex limit, or for minor tasks – so they account for about 15–20 per cent of my work.

I often pay for V4 Pro, for example.

I’ve tried using Luna to make better use of my quota – well, it doesn’t help much; it’s a good model but it uses up far more quota than it should, forcing me to use other people’s models to save money and stay productive (if it had lower consumption, I wouldn’t be thinking of replacing it with others). So, I hope that over the next six months, DeepSeek or whoever might release an affordable Flash/Mini model that at least matches the benchmarks of Luna/Opus 4.6 – and well, then I’ll definitely delegate 50–60 per cent of my work to those affordable models.

That’s when I’ll finally feel free to programme without having to fork out hundreds or thousands of euros.

I hope that moment comes soon, but it’s on its way, that’s for sure. Compared to six months ago, the amount of work I delegate to these affordable or free models has increased significantly, in line with their reliability and benchmark performance.

This is all rather unbelievable...

After updating the Codex app, I lost my sessions and projects.

So I asked Codex to restore them (it’s happened before, it’s easy), and it sorted itself out in 5 seconds, with Luna High.

The best bit? The weekly limit has dropped from 99% to 85%, FOR A SINGLE MINI PROMPT.

Is this really happening? If this is the new normal, I’m saying right now that as soon as my subscription expires, I’m leaving.

I’d simply like to be able to choose from the various openweight models.

So if Lumo were to become a sort of Perplexity, including: GLM, Kimi, Mistral, DeepSeek, etc... well, as far as I’m concerned, that would be brilliant.

I’m a Pro plan subscriber and have been using ChatGPT and Codex for several months now (4?) for various tasks, mainly for programming.

I work on fairly large codebases, but I’ve never had any problems. I’ve been using LLMs since the days when you could only use them by copying files into the chat, so the introduction of agents back then was a real game-changer 😂... anyway

I’ve noticed, with the release of GPT-5.6, a lot of token drain issues, which persist even after they’ve given us some resets and said they’ve taken action (by trimming the context and other measures).

This is particularly noticeable on the Sol and Terra versions, in High or Max mode (not Ultra).

Compared to GPT-5.5 High, they seem to solve problems at double the cost, meaning I can only do about half of what I used to do with 5.5 High… I reckon this is entirely a problem with token counting or how the abilities are managed…

In the last few hours, though, I’ve found that they aren’t actually performing that well (compared to the quota they seem to be using…).

The only exception is Luna Max for task execution (not as a CTO), which seems very good and consumes, shall we say, just the right amount.

The temporary removal of the 5-hour window was a good move, but it has shown users just how little limit they now have with the new models.

And that’s not a good thing, it’s a significant reduction in limits, especially considering that Sol was supposed to be more efficient… so, please, sort this out!

And let me know, fellow users, if you’ve got the same impression.

I wanted to express my disappointment to The Qwant team (and not just them – Ecosia too) regarding the lack of transparency in the implementation of Staan as a search index.

Given that I, like many others, am very concerned about issues surrounding European technological sovereignty, when might we finally receive some updates?

You aren’t keeping us updated on the rollout, nor on percentages, coverage or anything else, could you at least publish an update every now and then?

As an Italian user, I feel completely ‘excluded’, given that some time ago you mentioned a rollout only in Germany and France…

And this is supposed to be the European search index? I know and understand the issues, but as far as communication is concerned, I’d give you a score of 0.

Thank you.

I wanted to express my disappointment to the Ecosia team (and not just them – Qwant too) regarding the lack of transparency in the implementation of Staan as a search index.

Given that I, like many others, am very concerned about issues surrounding European technological sovereignty, when might we finally receive some updates?

You aren’t keeping us updated on the rollout, nor on percentages, coverage or anything else, could you at least publish an update every now and then?

As an Italian user, I feel completely ‘excluded’, given that some time ago you mentioned a rollout only in Germany and France…

And this is supposed to be the European search index? I know and understand the issues, but as far as communication is concerned, I’d give you a score of 0.

Thank you.

​

P.S I tried to post this on one of your Instagram posts and you deleted my comment , that was VERY, VERY BAD.

I see loads of people rooting for companies, arguing over which one’s better, as if they were the ones running them, ha ha ha.

It’s the same with tools (such as LLMs).

It’s as if I were bragging to another carpenter because I use a better glue, or hating the other carpenter’s glue manufacturer just because it’s inferior (in my opinion) to my glue, or because it’s a different price, or whatever.

In my opinion, you’re just people with a poor social life, who make others’ victories your own.

Ah, Anthropic this, ah, OpenAI that, no, but DeepSeek...

In short, 90% of them don’t help with the actual evaluation of products/services, and they don’t judge things objectively.

They’re just fans, just spectators, just confused.

I was "complaining" a few hours ago, suggesting a few precautions. Ever since the rebranding from Le Chat to Vibe, this model seems to be performing better, or am I mistakenm What on earth is this?

P.S Unlike many people (which is fair enough), I’m pleasantly surprised by the rebranding; I hope they carry it through to the models now.

I am not an expert in LLM development or commercialization, so I fully understand there may be technical, commercial, infrastructure, and regulatory constraints that I don’t see from the outside.

But as a user, a potential enterprise customer, and someone who genuinely wants Mistral to succeed, I feel the current communication and model positioning are confusing.

Over the past year, it has often been difficult to understand the intended role of each model: Codestral, Devstral, Magistral, Voxtral, Small, Medium, Large, etc. Some specialized models obviously make sense—especially things like Voxtral/OCR or very specific enterprise implementations—but from a customer standpoint, the core lineup feels fragmented.

Right now, **Mistral Medium 3.5** seems to be the clearest and most useful model. It’s positioned for coding, agentic workflows, reasoning, and it even replaces Devstral 2 in Vibe CLI. But then the "Medium" name becomes misleading, because in practice, it feels like the current flagship model for real-world use.

The price-to-performance positioning is the hardest part to defend.

For example, compared to **DeepSeek V4 Flash Max**, Mistral Medium 3.5 appears to cost roughly 10x more for input and about 25x more for output, while offering a 256k context window instead of 1M. On SWE-Bench Verified, the gap is small—around 77.6% vs 79.0%—so Medium 3.5 looks competitive if you only look at that single benchmark. But once you factor in price, output cost, context length, cache-hit economics, and broader agentic/general benchmarks like BrowseComp, the value proposition becomes much harder to understand.

This isn't just a "China is cheaper" issue. It's about clarity. If a competitor offers similar or better coding results, a massive context window, explicit reasoning modes, and a much stronger cache/cost justification, it becomes hard for a small business or individual developer to justify choosing Medium 3.5—unless they specifically need Mistral for open weights, deployment control, European/vendor reasons, privacy, or regulatory compliance.

The upcoming **Large 3 Reasoning** is also difficult to interpret from the outside. Is it meant to become the new flagship model for coding and agentic workflows? Or is it primarily an enterprise/open-weights foundation model with reasoning tacked on? Since Medium 3.5 currently feels like the most robust and practical model, and Large 3 doesn’t seem like the best fit for daily use, the "Large 3 Reasoning coming soon" messaging feels ambiguous.

### My suggestion would be to heavily simplify the public-facing product lineup:

* **Mistral Small:** Fast, affordable, local/edge, built for high-volume utilization.

* **Mistral Pro:** The best Mistral model for demanding work—coding, reasoning, agents, long-context, tool use, and business-critical workloads.

Then, keep specialized models clearly separated as niche products:

* Voxtral / OCR / audio / vision / domain-specific models

* Enterprise / self-hosted / fine-tuning variants

* Code-completion or embedding models if necessary

In other words, instead of asking users to figure out the difference between Medium, Large, Magistral, Devstral, and Codestral, simplify the core decision:

> *"Use Small for cost and speed. Use Pro for the best capabilities. Use niche models only when you need a specific workflow."*

My point isn’t that the models are bad. Medium 3.5 is clearly a massive improvement. The issue is that the current naming, pricing, and roadmap communication make it hard to tell which Mistral model is the best choice for coding, agents, reasoning, enterprise deployment, or cost-effective daily use.

As a user who wants to use and recommend Mistral, I think clearer positioning and a more competitive pricing/caching strategy would go a long way.

***

**P.S.:** English translation and formatting were done with AI assistance, so please focus on the substance of the feedback rather than minor phrasing imperfections. 🫶 And the rebranding of the coding platform from Le Chat to Vibe is already a great step in this direction.

I’m not one to complain, but I’ve already written a post today about the issues I’ve encountered (limits, Codex on smartphones, /goal).

And I want to add a few more:

- I bought another subscription and started with an 85% weekly limit rather than 100%.

- I’ve been stuck on a prompt for about two hours now and it won’t go any further (5.4 xhigh); whether I restart or re-enter the command, nothing changes – it always gets to the same point and freezes.

I’ve changed the model and it didn’t help at all, so I reckon it’s a ‘freeze’ that kicks in minutes after it starts running... whatever the model.

- The speed has become ridiculous; it used to be fine, but now it doesn’t even move forward anymore; I’m wasting tokens on these false starts only to see it freeze.

You go on and on about ideals like ‘European sovereignty’ or the like, but I see very little effort, not even the slightest.

11 plugins and all 11 are American... in my opinion, you just enjoy being self-sabotaging; there’s no other choice.

Am I asking for too much?:

- Integration with Codeberg (I mean native and official, not via GitHub).

- IDE companion on Eclipse Theia.

- Add Mollie as well as Stripe as a plugin.

- Infomaniak Suite (calendar, drive, etc... And perhaps even as a login method)

- n8n

You need to make more of an effort; you’re getting on my nerves.

I’m simply asking for European options within these bloody plugins, not to exclude the ones already there; there are thousands of valid ones out there; you’re just lazy and short-sighted.

Hi, I’ve got a bug with a project.

It’s quite a large project, and when I open it in OpenCode and send a prompt with any template, it doesn’t start; I send the prompt but nothing happens.

However, everything works fine in my other projects.

Has anyone else had the same problem? Any solutions?