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ChatCouncil Mode

How to use Council Mode

Council Mode lets you run 2-4 AI models simultaneously on the same prompt. Compare answers side by side, unify the best parts into a single response, and upload files for all models to analyze together. Mix open source and closed source models in the same session.

Council Mode with multiple models

Steps

Step 1: Start a new chat

Tap New Chat from the sidebar, or open an existing conversation.

Step 2: Open the model selector

Tap the model selector at the top of the chat to see the list of available AI models.

Step 3: Enable Council Mode

Toggle on Council Mode. The interface switches to multi-select, allowing you to choose multiple models.

Step 4: Select your models

Pick 2-4 models to compare. Each selected model appears as a chip with an X button to remove it. You can mix open source models (DeepSeek, Kimi) with closed source models (ChatGPT, Claude, Gemini).

Step 5: Send your prompt

Type your question and send. Each model generates its own response. You can compare answers side by side.

Step 6: Unify or continue with the best response

After reviewing responses, you have two options:

  • Unify — Merge the best parts of all responses into a single, unified answer. Anuma aggregates the responses automatically.
  • Continue with this — Select your preferred response and continue the conversation with that model.

Uploading files in Council Mode

You can attach files (PDFs, images, documents) to your Council Mode prompt. All selected models receive and analyze the same file, so you can compare how different AI models interpret the same document.

Good to know

  • Council Mode uses credits for each model that responds. Running 4 models costs 4x the credits of a single model. Learn about credits.
  • Every model is available on every plan — Free, Starter, and Pro.
  • You can mix open source and closed source models in the same Council Mode session.
  • Council Mode works with the same memory context — every model sees your relevant memories.
  • The Unify feature creates a new response that combines the strongest elements from all models.

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