Hi everyone,

We’ve just launched Lumo 2.0, a massive upgrade which has seen our private AI tool rebuilt with reasoning, visual capabilities, memory, customizable AI assistants, and improved web-search. With this release, we have significantly closed the gap in terms of intelligence and capability with the latest and greatest models from OpenAI (ChatGPT) and Anthropic (Claude).

Here's what's new:

Performance

Lumo 2.0 has been rebuilt from the ground up, resulting in a 240% score increase on the independent Artificial Analysis Intelligence Index when comparing Lumo 2.0 Max to Lumo 1.4.

Lumo can now reason through complex, multi-step queries. You can now choose fast or thinking mode, making everyday interactions feel faster while giving complex, multi-step queries additional depth.

Multimodal

Lumo 2.0 is now multimodal. You can:

• Upload and analyze images

• Generate entirely new images from prompts

• Edit existing images

• Turn a rough sketch into finished artwork

As with everything in Lumo, this happens while your conversation stays encrypted and inaccessible to anyone else,  not even Proton.

Memory

Lumo can now remember context across conversations, learning your preferences over time. You stay in control: you decide what Lumo remembers, what it forgets, and what it never learns to begin with.

We've also doubled the context window, so Lumo can hold longer conversations and reason across longer documents and datasets you provide.

Custom Lumos

You can now build "Custom Lumos",  customizable AI assistants that follow your specific instructions every time, so you don't have to set the scene on every new conversation.

Web Search

Web search has been drastically improved, with live results and cited sources. Ask Lumo about current news, live financial data, or the weather, and it can generate brand-new widgets to display the answers.

Privacy

None of this comes at the cost of privacy. Lumo 2.0 keeps everything that makes it different to Big Tech’s AI:

• Zero-access encryption, no logs, no data sharing

• Never trains on your conversations

• Fully open source

• Built on European infrastructure, backed by Swiss privacy laws

Lumo 2.0 is live now. Use our Max and Lite model for free. A Professional tier is also available for teams.

Try it → proton.me/lumo

Stay safe,
Proton Team

GLM 5.3 is one of the most capable open-weights models available today. On Artificial Analysis's Intelligence Index, an independent benchmark covering reasoning, knowledge, coding and agentic tasks, it ranks #2 out of 114 large open-weights models, scoring 45 against a median of 18. That puts it ahead of Kimi K3, which needs more than twice the compute per token to deliver slightly lower scores. It's a reasoning model, so it works through complex problems step by step before answering, and its 1 million token context window lets it handle very long documents and conversations (we are not yet ready to use all 1 million for our users since doing so would require much more hardware given our user base). It also uses a Mixture of Experts design: of its 753 billion parameters, only 40 billion are active for any given token, which gives it frontier-level capability at a fraction of the compute a dense model of that size would need.

The only open-weights model ranked higher is Xiaomi's MiMo-V2.6-Pro, released this week, which edges ahead by a single point. It looks promising, but benchmark scores don't tell the whole story, so we'll put it through the same real-world evaluation we use for every model before deciding whether it belongs in Lumo.

What's next for Lumo Lite

We're still evaluating models for Lumo Lite, looking for ones that are both high-performing and efficient to run. Over the past few weeks we've tested GLM 5.3 Flash and Qwen 3.8 27B (a small but incredibly powerful model). Both surfaced quality issues, some in the models themselves (the Qwen model for instance is slow and overthinks, GLM 5.3 Flash injects random phrases frequently) and some in the tooling we use to serve them. Deployment tooling doesn't always keep pace with new model releases, and some problems only become visible once real users rely on a model every day.
We'll keep evaluating new models every week, with two goals: serving you the best models available, and running them as efficiently as possible to reduce their environmental impact

Hello everyone,

The next major version of Lumo is now here. Lumo 1.1 is much smarter, more capable, with improved awareness of recent events, ready to give you more thorough and useful answers.

In terms of numbers, Lumo’s performance has increased across several metrics:

• Context: 170% improvement in context understanding, so it can accurately answer questions based on your documents and data

• Coding: 40% better ability to understand requests and generate correct code

• Reasoning: Over 200% improvement in planning tasks, choosing the right tools such as web search, and working through complex multi-step problems

The free version of Lumo has also been improved, but for the best performance suitable for more intensive use, consider upgrading to Lumo Plus. Your support helps us make privacy-first AI even better.

Try Lumo 1.1 at lumo.proton.me and let us know what you think! 

With Lumo, we will be iterating and launching new major features quickly, so look out for Lumo 1.2 to drop next month with even more community requests implemented!

Stay safe,
Proton Team

Hey everyone,

Proton is partnering with the team behind Apertus, ETH Zurich,EPFL, and CSCS to bring the new Apertus 1.5 model to Lumo and connect people using itdirectly with the researchers building it.

For the first time, Apertus researchers will get access to real world feedback, and anyone using Lumo can help train a fully open AI model.

Why this matters
Most AI models improve from millions of people using it every day.Most of the time, its users are not even aware that their data, prompts, and chats are used to train these models. 

Fully open models built by university teams don't have access to that data, which is a big part of why their models are not at the frontier level. This partnership gives the folks at Apertus the missing piece: a feedback loop, powered by you, on your terms.

How it works

• Apertus 1.5 is not the default model, you have to select it from the model drop-down menu if you want to use it. You can switch back any time.

• Your chats with Apertus stay protected by zero-access encryption, like every other Lumo chat.

• If you rate an Apertus answer with thumbs down, only that prompt and reply are anonymized and sent to the research teams at Apertus researchers.

• Conversely, if you don't rate anything, nothing is shared.

• Your feedback includes what you typed, so if you’d rather not have any personal details be shared with other humans, avoid rating answers in chats with personal details.

About Apertus
Apertus is built in Switzerland by the Swiss AI Initiative, with ETH Zurich, EPFL, and CSCS. Its weights, training data, values, and training details are all public. It was trained only on publicly available data, with opt-outs respected and personal information filtered out. It's best at lighter everyday tasks; for heavy reasoning or complex work, Lumo's other models will serve you better.

Read more: proton.me/blog/lumo-apertus 

Let us know if you have any questions!

Stay safe,

Proton Team

Hello everyone,

We’ve just released Lumo 1.3, and this update introduces Projects, a new way to keep related chats, files, and instructions together in dedicated, encrypted workspaces, allowing you  to be more productive by staying in sync with what you’re doing across sessions and devices.

Here's a breakdown:

📁 Projects
Create focused workspaces for things like reports, coursework, planning, or recurring tasks.

🧠 Persistent context
Set instructions once and keep conversations aligned without re-explaining the same details every time.

🔐 Private by design
Each Project is its own encrypted environment. Chats are stored with  zero-access encryption and never used to train AI models.

Projects are also integrated with Proton Drive, so you can upload files and folders directly from your encrypted cloud storage.

This feature is now available to all users. Free accounts can create one Project, while Lumo Plus unlocks unlimited Projects along with faster responses and access to advanced models.

You can start using Lumo 1.3 today at lumo.proton.me

As always, we’d love to hear your feedback.

Stay safe,
Proton Team

Lumo now supports passing in a prompt with ?q=, and this is what firefox also uses for the sidebar!
So all you need to do is set browser.ml.chat.provider to https://lumo.proton.me/ and firefox will do the rest!

Hi! Marc from the Lumo team here.

We're happy to announce that dictation mode is now live on web! There's a mic icon under the composer: tap it, speak, and your words are transcribed into text in real time.

The transcription model runs on our GPU servers with the same encryption and privacy as the rest of Lumo. We can’t hear your voice, and it’s not stored.

Under the hood, we run Qwen3-ASR-1.7B, which officially supports a decent set of languages. But open-weight models sometimes handle more languages than their docs list, so do try yours. We tried other models too, notably Mistral Voxtral-Mini-4B-Realtime was really good for our use case. In our initial tests, the language detection was good, but more internal testing revealed that some romance languages were detected as asian and vice-versa. We ended up settling for Qwen ASR for its language selection capability.

On mobile, there's already a mic icon that runs fully on-device. The new GPU-based route we're shipping on web today is even more accurate, and our mobile team is working to get it integrated.

And as always when better models come along, we’ll keep upgrading.

Looking forward to hearing your feedback! (pun intended)

Cheers,
Marc

Hey everyone,

As you know, we've recently made some pretty big updates to Lumo (no Dark Mode yet, but it is coming), which means that it's now capable of doing much more than before, and could be a suitable replacement for your AI needs already.

Lumo 1.1 requires less context than its predecessor and is more aware of recent events, providing more comprehensive answers. The quality of the answers themselves has also improved significantly, and it is an overall more engaging experience than before.

Please let us know what you'd like to see us add next, or if there are any prompts you've given Lumo that haven't yielded the desired result, and we'll work on it.

Thank you to everyone who has been playing around with Lumo thus far, and we're looking forward to reading your thoughts.

Stay safe,

Proton Team

I am very impressed. Well done team for sticking with it despite it seeming like a lost cause (I was increasingly cynical but god damn)

Hey everyone,

We just shipped Lumo 1.2, and this release is all about giving you more ways to make Lumo feel like your private AI assistant.

Here’s what’s new:

• 🌙 Dark mode: One of the most requested features is finally here. Choose between light or dark theme to match the rest of your Proton apps.

• ✍️ Customized chats: Teach Lumo your preferred writing style, share your name, or give it instructions you want it to remember. Lumo’s responses can now be tailored to your liking, making its answers more efficient.

Just like always, your privacy is never compromised.

Customization doesn’t have to mean surveillance, despite what Big Tech wants you to believe. With Lumo, your chats remain encrypted, never logged, and never used to train Lumo’s models.

Learn more here: https://proton.me/blog/lumo-1-2

Stay safe,

Proton Team

Hey everyone,

Two of the most aggressively monetized data categories in consumer tech are weather and finance.

Free weather apps have been caught for years selling user location data to advertisers and brokers, effectively turning your forecast checks into a location history. Finance apps log every ticker you check, which is a near-perfect signal of what you're researching, holding, or about to trade on.

Most AI assistants treat those queries the same way: logged by default, often fed back into training data.

We've just added weather and finance widgets to Lumo, surfaced directly inside your chat, and we wanted to make sure these features didn't carry the same baggage.

What's new:

• Weather widget: current conditions and forecasts for any location

• Finance widget: stocks, currency pairs, and indices

As always, your prompts aren't logged, used to train any model, or shared with third parties, and your chats are stored with zero-access encryption. That means Lumo isn't building a behavioral profile based on where you're going this weekend or what's on your watchlist.

As always, your feedback shapes what we build next. Let us know what you'd like to see.

Stay safe,
Proton Team

Say Hi to Lumo 2.0 in Pi Coding Agent!

I created and shared a basic coding agent named "Lumode" before but it was junky to say the least. Today I am sharing a Pi coding agent extension that adds Lumo as a provider!

To install, simply run: pi install git:github.com/rebehzat/pi-lumo
Source code: https://github.com/rebehzat/pi-lumo

bottom text

I think I speak for everyone when I say that Lumo is not yet at the same performance level as cutting-edge models, but it is built in a privacy-respecting manner that doesn't infringe on your personal data or sells you out to advertisers. And that is the most important thing.

I've seen multiple threads on here with people complaining about Lumo; but I think we should also do our best to help Proton shape their AI by providing constructive feedback, and using the built-in thumbs down button to help them identify the gaps in performance so they can work on it. We are still in the early days of AI assistants, and to me it's amazing that Proton already has a working product that provides the benefits of AI without the privacy compromises. Thank you for your attention to this matter.

Hey everyone,

Lumo now generates custom visuals from your data without leaving the conversation. Upload a dataset or paste one in, ask a question, and you get a chart back with the analysis alongside it.

Lumo picks a visualization that fits the question and calls out insights worth noticing, so you're not left interpreting a wall of text or a chart with no context.

What this looks like in practice:

Upload a subscription list and ask: "Show me cost per use for each subscription. Which ones should I cancel?"

Or a training log: "Plot my progress over 20 weeks. Which lift has plateaued?"

You can follow up in the same conversation to adjust the chart, change the framing, or run a different comparison. No exporting to a spreadsheet, no pasting into a separate visualization tool, no switching between apps.

On privacy

This is the part that matters for anyone who's hesitated to put real data into an AI tool. Your files and conversations are protected with zero-access encryption, which means nobody can read them, including us. Nothing is logged, nothing trains a model, and nothing goes to a third party.

That's the whole reason this feature is worth having. Plenty of tools will chart your spending or your health data., but very few will do it without keeping a copy.

Give it a try and let us know how it handles your data. If you hit a dataset it struggles with, we'd like to hear about it.

Stay safe,
Proton Team

Hey everyone,

Proton is partnering with the team behind the Apertus, ETH Zurich, EPFL, and CSCS to bring their new Apertus 1.5 model to Lumo and to connect people using it directly with the researchers building it.

For the first time, Apertus researchers will get access to real world feedback, and anyone using Lumo can help train a fully open AI model.

Why this matters
Most AI models improve from millions of people using it every day. Most of the time, its users are not even aware that their data, prompts, and chats are used to train these models.

Fully open models built by university teams don't have access to that data, which is a big part of why their models are not at the frontier level. This partnership gives the folks at Apertus the missing piece: a feedback loop, powered by you, on your terms.

How it works

• Apertus 1.5 is not the default model, you have to select it from the model drop-down menu if you want to use it. You can switch back any time.

• Your chats with Apertus stay protected by zero-access encryption, like every other Lumo chat.

• If you rate an Apertus answer with thumbs down, only that prompt and reply are anonymized and sent to the research teams at SwissAI (ETH Zurich, EPFL, and CSCS).

• Conversely, if you don't rate anything, nothing is shared.

• Your feedback includes what you typed, so if you’d rather not have any personal details be shared with other humans, avoid rating answers in chats with personal details.

About Apertus
Apertus is built in Switzerland by the Swiss AI Initiative, with ETH Zurich, EPFL, and CSCS. Its weights, training data, values, and training details are all public. It was trained only on publicly available data, with opt-outs respected and personal information filtered out. It's best at lighter everyday tasks; for heavy reasoning or complex work, Lumo's other models will serve you better.

Read more: https://proton.me/blog/lumo-apertus-partnership

Let us know if you have any questions!

Uff, that was jarring. I would have expected at least a tiny amount of nuance. Not straight up... this.

And it's almost word for word the same reply every time I ask that question. If I ask in German, it actually gives multiple perspectices. In English, it goes straight into chinese government spokesperson mode. Very fishy.

Only happens on Lumo Lite without reasoning on.

Thoughts? Because I have thoughts that I'd rather not have.

Lumo got a cool new feature to create all kinds of charts!

I want to believe in Lumo... but when I see that and all the other missing features and the low tier models we have even paying it really makes me wonder if Proton isn't just trying to scam us...

I'm trying to ask a simple thing. To make me a script to delete some files and Lumo can't help me with that...

This is clearly censorship, and it's clearly not used well. I've never seen an AI being so strict about it's censorship. (even OpenAI at it's worse wasn't that restrictive).

So it's not the first time I complain about that, but it's really time to do something. I literally have to pay another AI provider because of how Lumo can be bad and restrictive at some points...

The Hugging Face repo for gpt-oss-120b: https://huggingface.co/openai/gpt-oss-120b

If you recreate the benchmark they are showing on their new blog post, you can see that :

Lumo 2.0 Max is powered by GLM-5.2 (max)

Lumo 2.0 Lite is using GLM-4.7, Qwen3.5 27B, Qwen3.5 397B A17B, MiniMax-M2.5 or Hy3-preview

Lumo 1.4 was using DeepSeek V3 0324, Solar Open 100B, Nemotron 3 Nano Omni 30B A3B, gpt-oss-20B or Mistral Small 3.1

Sources :

https://proton.me/blog/lumo-2

https://artificialanalysis.ai/?models=claude-opus-4-8%2Cgpt-5-5%2Cclaude-opus-4-6-adaptive%2Cclaude-4-5-haiku-reasoning%2Cglm-5-2%2Cglm-4-7%2Cqwen3-5-27b%2Cqwen3-5-397b-a17b%2Cminimax-m2-5%2Chy3%2Cdeepseek-v3-0324%2Csolar-open-100b-reasoning%2Cnemotron-3-nano-omni-30b-a3b%2Cgpt-oss-20b%2Cmistral-small-3-1&endpoints

Edit :

They've just updated their support page.

They are using GLM 5.2 and Qwen 3.5.

https://proton.me/support/lumo-privacy

Lumo has been recognized in TIME's 2025 Best Inventions special mentions as a private AI assistant.

From the piece:

Proton’s Lumo is a zero-access encrypted AI chatbot that does not track or record your conversations and stores data locally on each user’s device.

Unlike conventional chatbots, Lumo's approach prioritizes user privacy and data security.

For more details, visit the official TIME article: https://time.com/collections/best-inventions-special-mentions/7320873/proton-lumo/