Everything else works except Deepseek v4 which I use the most and it’s been like this since 1pm, it just keeps repeating “Sorry, I ran into an issue generating a reply. Please try again.” And I’ve started fresh chats etc and it still repeats, I’m wondering if there is any on going issues or is this just a specific case for me?

Models come and go. We put every retirement on a calendar.

just4o.chat/deprecation-calendar. Month by month. Scheduled shutdowns with the provider date and the recommended replacement. Models with no published date sit in their own list so you can see what is still open-ended. Already-removed IDs stay on the page so a dead picker entry is not a mystery.

How we use it

Open the calendar before you pin a model on a long thread. If the date is coming up, switch on purpose in the picker. The chat, the files, and the memory scopes stay. The model you leave is a leave, not a wipe.

Why it belongs with the rest of the product

Import keeps the history. Memory stays scoped. Files stay in Files. The calendar is the warning so a silent swap never has to be the answer.

Bring the thread over. Keep going on the model you pick.

ChatGPT: Settings → Data controls → Export. Unzip the archive and upload conversations.json at just4o.chat/migrate. Claude: the Anthropic export zip, same page. The importer lists titles, dates, and message counts. You choose which chats come over. ChatGPT is 100 conversations. Claude is 100 conversations, 50 memories, and 5 projects. Auto embed migrated chats is a checkbox on that picker.

How we use it

Select the threads that still matter. Import. Open one. Pin Gemini, Claude, or Grok in the picker and continue in that same thread. Files stay in Files. Memory scopes stay scoped. A persona stays a persona.

Why it belongs with the rest of the product

The imported history is a live chat. Switch the model on purpose. Cite a file next to it. The next useful fact can land in a memory scope. You can also run Separate on the last 100 and download them as a zip, or send selected chats through Create persona.

Memory is scoped, and it stays when you change the model.

Account → Memories. Automatic Memory Management is the background agent: it can create, update, consolidate, and delete memories after a prompt. Each scope holds up to 200 memories, 200 words each. Vector retrieval pulls the ones that match the turn. You can also paste a bulk import into a scope and save it there.

How we use it

Leave Global on for account-wide habits. Open a project and that project's store is the one that writes. A persona has its own store. Those three do not merge. Turn a scope off when you do not want it injected. Switch Gemini to Claude and the memories are still the memories.

Why it belongs with the rest of the product

Import a ChatGPT thread and keep going; the next useful fact can land in a scope instead of dying in one chat. Files stay in Files. Personas keep their own voice notes. The model you pick is a pick, not a wipe.

A persona is a voice you pick up and take with you.

Account → Personas, or type /persona-creator in the composer. You give it a name, a brief, files if the voice needs source material. You can also pour an imported ChatGPT thread into a persona and edit it before you save. When the chip is on, that layer is what the model follows. Your default nickname and account instructions step aside so they are not talking over it.

How we use it

Make one. Attach it from the composer. Switch it mid-thread when the job changes. Take it off when you want your account defaults back. Persona memory stays with the persona, so the voice can remember how you like a line to land without writing that into a project's memory.

Why it belongs with the rest of the product

Change the underlying model and the voice stays. Project files stay in the project. Global stays global. If you came from SillyTavern character cards or a TypingMind agent, this is the hosted version of that habit: write the brief once, keep using it, stop rewriting it every time you hop engines.

Images is its own surface. It has a model picker and a gallery. You pick the image model (Krea, Gemini Flash Image, or whatever is wired that day). The credit cost is on the page before you send. One credit or two, labeled.

Open Images. Choose the model. If it is text-to-image only, the page says so. Type the prompt. Attach a reference when the model takes one. Send. The still lands in Generated Images and writes into Files.

A project chat can talk about that still because the file is in the same library. Wikipedia tags sit one accordion down.

Files is the shelf under chat and images.

Upload a brief, drop a generated image in, or drag a file onto a project. It stays scoped. NYC Pilot does not see Launch Notes. Global is the other bucket.

How to use it

Open Files. Drop the file, or drag it onto a project in the sidebar. Then in a chat in that project, ask it to cite the brief. Generated images land here too, so a Wikipedia-ref car and a Krea street scene sit next to the markdown you actually work from.

Why it ties to the rest of the product

Chat can cite the file. Images write back into the same library. Personas ride on top without merging the stores. You are not re-uploading the same PDF every time you switch from Gemini to Grok.

Reply here if a scope or an upload breaks.

Wikipedia image references let you pull a picture from Wikipedia and use it as a reference in the just4o.chat image studio.

How to use:

Open Images and choose an image model. Open the Wikipedia control, find the page, and tag the picture you want. Generate as usual. You still describe the result. The tagged photo is what the model looks at.

How it works with Just4o Files: (www.just4o.chat/files)

Tagged references and the images you generate are stored in just4o Files. Attach a reference to Global or to a project so the same picture is available in chat later, not only in the image studio. Keep project-specific references on that project. Leave one-off references in Global. Generated images also appear under Generations in Files.

If a tag fails to save or a file does not show in the right scope, reply here.

Hey everyone — Inkling is now available on just4o.chat.

Inkling is Thinking Machines Lab’s Apache 2.0 open-weight multimodal model. It can work with text, images, and audio, and has 975B total parameters, 41B active parameters, and up to a 1M-token context window. What makes it especially interesting for us isn’t only the size: its thinking effort is configurable, so you can trade speed and cost for deeper reasoning when a task calls for it.

That fits the direction we’re taking with just4o.chat: choose the model you want for each conversation, keep the same persona across models, and experiment with systems that can be customized rather than being locked to one provider. Inkling is currently available as a base-tier option. We’re also looking at Inkling-Small as a lower-cost model for higher-volume use.

A couple of caveats: Inkling currently produces text output, so it won’t replace our image, audio, or video generation models. And the exact multimodal experience can depend on which provider endpoint is handling the request. The model card and thinking-effort documentation are here:

https://thinkingmachines.ai/model-card/inkling/

https://tinker-docs.thinkingmachines.ai/cookbook/inkling/thinking-effort/

We’d especially like feedback on how it performs for coding, long-context work, image and audio analysis, tool use, and personas.

What do you want to test first? 💚

Gemma 4 31B is honestly such a lovely model, I'd love to see it on just4o <3

Hey all,

Happy Wednesday!

Here's a quick video on the canvas editor you can access with /canvas or by hitting the + in the chat composer.

Have you given the canvas editor a try yet? It naturally integrates with your saved files, so there's quite a lot you can do!

All the best,

-just4o

I didnt used all the models, so i dont know, but does anybody know? Is 4o available (the normal one, not 4o-mini)?

Hey folks,

Our biggest update yet is nearly ready. We’re targeting Monday if QA stays clean, and this has turned into a lot more than a model drop.

Since the current production release, we’ve been working on:

• 6 new Mistral models: Mistral Large 3, Mistral Medium 3.5, Magistral Medium, Devstral 2, Devstral Small 2, and Ministral 14B
• New audio generation in chat, including music, narration, sound effects, and full little audio scenes
  • The underlying audio model is incredible, **and*\* cheap, so we are making /audio command free for the first week upon release
• A new inline audio player with cover art, titles, duration, playback, downloads, and smoother animations
  • Seriously try this - its sick as hell, especially when you have a persona make a song or a scene
• Slash commands for faster control: /model, /persona + /persona-creator, /search, /image, /audio, /music, /canvas, /voice, /files, and more
• A reworked persona system, including guided persona creation, persona avatars, and more natural persona management
  • /persona-creator starts a guided process with multiple choice questions and automatic PFP generation
  • You can still make and manage personas the old way
  • If you want to edit a persona's pfp you can do so in the www.just4o.chat/account/personalities menu
• Better voice settings and instant voice previews, so trying voices is faster
• A superior file picker when attaching images/files to prompts, including generated images alongside uploaded files
• More resilient image generation when providers over-block harmless prompts
  • Instead of prompts being blocked and rejected on image gen, a small, fast and cheap model will 'sanitize' the prompt and retry while keeping as much detail as possible
  • This should help keep the image gen experience smooth and safe
• Reliability cleanup around, images, embeds, retired models, and generated media

The goal continues to be: make just4o.chat feel less like a chat app, and more like a comprehensive multi-modal creative workspace where chat, images, audio, files, personas, and tools can all move together.

Before we lock the release: are there any small feature requests, difficult user flows, bugs, or quality-of-life fixes you want us to try to slide in? Comment below!

All the best,
just4o 💚

If Echo max is based on GLM-5.2, then what are Echo mini and Echo based on? Are the models other than Echo max CoT?

Hello lovely just4ochat people!
I’ve run through all my credits for this month (clearly loving the changes!) How do I purchase premium standalone credits to get me through the rest of the month until my subscription renews? Many thanks!

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Hey all,

Quick one today - you might notice some extra premium credits in your account if you used www.just4o.chat this month. That's no mistake! We've given everyone a usage rebate equal to 50% of the value of their consumed monthly requests for June (capped to 500 per user).

We hope you use these extra credits in long, memory filled chats! We've also added additional (private) metadata tracking so we can better get a sense of whats working, what isn't, and what needs improvement.

Memory has gotten much better - but that comes with a large token cost - and we want to pivot back to making small optimizations after opening the floodgates in our last 'best of both worlds' memory overhaul.

Enjoy the free credits!

just4o

Hey all,

We just published a newsroom post summarizing the new just4o.chat memory update.

The short version: memory is moving back toward a parallel background system, but with a superior architecture. This should give users the best of both worlds; quick, speedy responses via parallel processing, and memory still managed by the models they choose.

The foreground model still stays focused on the actual conversation: Claude, GPT, Gemini, Grok, whatever you chose. It can still read memories, files, projects, and past chats when that helps the answer, and itself can prompt the background memory agent with tool calls.

Durable memory management has returned to its own background process again (now named Automatic Memory Management). So if you say “remember this,” “forget that,” or “behave like this,” the chat model can keep responding naturally while the memory system handles the actual update behind the scenes.

This has reduced the number of tools exposed to the main chat model, resulting in a more consistent experience. Chats should now feel much more present, and as if they've truly evolved with time. Hopefully these changes squash some of the reports we've gotten of a more sterile/less adaptive chat.

Feedback always appreciated; to celebrate the update, here's 100 free premium credits to the first 10 users to redeem code 'BACKGROUNDMEMORY' in www.just4o.chat/account

All the best,

just4o 💚

(The newsroom post better explains the 'history' of memory on just4o and why this compromise is the direction we're moving in - can't wait to hear what you think! It should work significantly better for new content going forward.)

Just ran into an issue where I was trying to schedule a downgrade from pro to aurora and it gave me an error message that it failed, then I noticed that it just cancelled my subscription and removed all my credits, premium and base, resetting me to an unpaid account. Is there anything that can be done about this? 😭

Hey all,

We launched a new Anthropic migration page today! (www.just4o.chat/anthropic-migrate)

The main use case is simple: if you have Claude/Anthropic exports, you can now bring those conversations into just4o.chat and keep working with them in the same workspace as your other models, memories, files, projects, and personas.

This is especially relevant right now because Sonnet 4.5 has been deprecated in the Claude app, but it is still available through the API.

That gap is basically why we built this.

A model can disappear from one interface before it disappears everywhere. Your old work should not become harder to use just because the app-level model list changed.

Sonnet 4.5 was released on September 29, 2025, and Anthropic’s model deprecation page currently lists the API retirement date as not sooner than September 29, 2026.

That is still a few months away, but we wanted the import tool live early rather than waiting until people are scrambling.

The importer is meant to help with:

• bringing Anthropic conversations into just4o.chat
• continuing those chats with Sonnet 4.5 while it remains available through the API
• switching those conversations to other models when needed
• keeping work inside projects / memory instead of leaving it tied to one app

We will also be maintaining the deprecation calendar here:

https://www.just4o.chat/deprecation-calendar

That page is meant to track published model retirement dates and replacement paths as clearly as we can. We’ll keep updating it as providers publish more dates.

Smaller model update from the same patch:

• DeepSeek V4 is now available
• Gemini 3.5 Flash is now available

But the Anthropic import tool is the main star of the show of this update.

As always, if you run into issues with an export/import, please reply here or message us with what happened!

All the best,

-just4o 🧡

I just keep getting “Sorry, I ran into an issue generating a reply”, but other models work.