Multi-Model AI In One Workspace
Multi-model AI means one interface in front of several providers. In ChatOTL the model is chosen per message, so a single conversation can move between OpenAI, Anthropic, Google and your own OpenAI-compatible endpoint while keeping the same history.
Models are not interchangeable. One drafts prose you actually want to keep, another holds a long refactor in its head, a third is cheap enough to run twenty times. A multi-model workspace lets you pick per task instead of per subscription.
How switching works
The model selector applies to the next message you send. Prior turns stay in the thread and are replayed as context to the new model, so you keep the conversation instead of restarting it.
When switching is worth it
- Draft with one model, then ask a stronger reasoning model to critique the draft.
- Move to a larger context window when you attach a long document.
- Move to a vision-capable model when the question involves a screenshot or a scanned page.
- Fall back to a cheaper model for routine reformatting.
Branching plus switching
Branching forks a reply into its own thread. Combined with model switching, that gives you two answers to the same prompt from two models, side by side, without destroying either.
Bring your own endpoint
Any OpenAI-compatible endpoint can be registered, which covers self-hosted gateways and providers that expose that API shape. The available model list is driven by the server-side registry, so adding a model does not require a frontend change.
Limitations
- Capabilities differ per model: attaching an image only works on vision-capable models, and a text-only model receives a description instead.
- Long histories cost more tokens on every switch, because context is replayed.
- No live web access on any model in the workspace.
Frequently asked questions
Does the conversation reset when I change models?
No. The existing turns are sent to the new model as context.
Can I compare two models on the same prompt?
Yes — branch the reply, then send the same prompt on a different model in the new branch.
Which providers are supported?
OpenAI, Anthropic, Google, and any OpenAI-compatible endpoint you configure.
Switch models mid-conversation
Open a thread, ask a question, then answer it again with a different model and compare.
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