Aether Chat
Aether Chat: one workspace, every frontier model
Aether Chat is the research surface of the Aether platform: a browser-based AI chat workspace where you pick the model per conversation across frontier families — Anthropic Claude, OpenAI GPT, Google Gemini, and Moonshot Kimi — under one subscription, in the same workspace as Aether Code and Aether Design.
Compare Claude, GPT, Gemini, and Kimi in one place
Most chat products lock you into one vendor's models. Aether Chat is model-agnostic: pick the model per conversation, re-ask the same question across families, and keep every answer in a single searchable workspace. Frontier-tier models are available on Pro and Team plans; every tier includes capable defaults.
Capabilities
Model choice per conversation
Switch between Claude, GPT, Gemini, and Kimi family models inside one thread instead of juggling separate vendor apps.
One connected workspace
Chats live alongside Aether Code and Aether Design, so research flows directly into building and creating.
Usage-based plans
Every plan meters work in UVT, the Aether usage unit, so heavier models simply draw more of your monthly allowance.
Pricing and plans
Aether Chat is included in every AetherCloud plan: Free ($0), Starter ($19.99/month), Pro ($49.99/month), and Team ($89.99/month). Plans differ in monthly UVT allowance and model tier — see the full pricing page for details.
Aether Chat FAQ
Aether Chat is a browser-based AI chat workspace in the Aether portal. You choose the model per conversation from multiple frontier model families and keep every conversation in the same workspace as Aether Code and Aether Design.
Aether Chat routes across frontier model families including Anthropic Claude, OpenAI GPT, Google Gemini, and Moonshot Kimi. Which models are available depends on your plan tier; the newest frontier tier is available on Pro and Team plans.
Yes. Aether Chat is included in the Free plan. Paid plans — Starter $19.99, Pro $49.99, and Team $89.99 per month — raise usage limits and unlock frontier-tier models.
One subscription, many models. Instead of committing to one vendor's model, you pick the model per conversation and compare answers across families, with all of your work kept in one connected workspace.