multi-model-strategy

To choose the optimal AI model, match the task's requirements for cost, speed, context, and reasoning depth against premium, standard, and fast model tiers to balance performance and expense.

The best way to optimize costs is routing cheap models for exploration, standard models for planning, and premium models for review, ensuring each agent uses the most cost-effective tier.

Yes, you can assign different AI models to different agents within the same Copilot CLI session by using per-agent model overrides and tier-based routing via the /model command.

Multi-model agent routing requires Copilot CLI support for the /model command, per-agent model overrides, and tier-based routing to assign tasks across different models effectively.

You set up a pair-model workflow by configuring simultaneous builder and reviewer agents, assigning each the most suitable model tier to handle implementation and review phases concurrently.

Avoid using premium AI models for initial code generation phases like exploration where context is broad and reasoning depth is low, routing these tasks to fast and cheap models instead.