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Models

Bring candidate run evidence and compare accepted outcomes, cost, and task constraints using the same evaluation criteria.

Last updated August 22, 2026

Compare models on work you would accept.

Use cases

Use the same standard

Judge candidate results against a common task and acceptance contract.

Count the complete outcome

Review reported cost alongside acceptance, rather than treating a cheap failed run as a win.

See comparison limits

Identify runs that are missing evidence or cannot fairly be compared.

How it works

  1. 1

    Set the acceptance criteria

    Define the task, mandatory requirements, and constraints.

  2. 2

    Bring candidate results

    Supply the run evidence and reported costs from your model trials.

  3. 3

    Review the comparison

    Inspect accepted outcomes and excluded candidates before selecting a model.

Quickstart

Open Models in the console, provide the required inputs, and start an organization scoped run.

Inputs

  • task contract
  • candidate models
  • evaluation rubric
  • budget

Outputs

  • ranked candidates
  • failure traces
  • cost forecast
  • routing decision
Open Models

MCP

Call Models from a compatible agent with the preferred public tool name.

bashReady
symbolic.models.run

The previous internal service identifier remains accepted for compatibility, but new integrations should use this product name.