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AI model optimizer: the right model for each use case

The Model Optimizer chooses the most appropriate model for each business use case: lower-cost models handle everyday work in conjunction with your enterprise data doing the heavy lifting, and frontier models are limited to just the users and use cases that need them. Set a default model for each agent and decide which users may switch to premium ones.

AI Cost Intelligence

Model Optimizer

Set a default model for each agent and decide which users may switch to premium ones. Most everyday work runs well on lower-cost models when it draws on your own data.

Powered by Flexible LLM Choice

Questions you can ask

Ask the Model Optimizer agent in plain language; every answer shows its sources.

  • Which agents are running on frontier models today?
  • Can the policy Q&A agent run on a lower-cost model?
  • Who is allowed to switch to a premium model?
  • Which agents could move to a lower-cost model without losing quality?
  • Set the default model for the policy Q&A agent.
  • Which use cases need a frontier model, and which don't?

Example output

It shows the default model set for each agent, such as the fast, low-cost model here, with premium models limited to the users and use cases that need them.

Model per agent

  • Fast, low-cost model
  • Balanced model
  • Most capable model

Illustrative example with sample data.

How it works

  1. 1

    Powered by Flexible LLM Choice

    Choose the most appropriate model for each business use case.

  2. 2

    Set a default per agent

    Set a default model for each agent.

  3. 3

    Let your data do the heavy lifting

    Most everyday work runs well on lower-cost models when it draws on your own data.

  4. 4

    Limit frontier models

    Decide which users may switch to premium models, so frontier models go only to the users and use cases that need them.

See the Model Optimizer agent at work

Questions about AI Cost Intelligence or this agent? Send us a note and we'll get back to you by email.

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