Evaluate and Benchmark AI Models Before You Commit
Run a full model evaluation and pick a winner in about an hour.
Time Required
1 hour
Expected Result
A scored comparison across multiple AI models on your actual use case, with a clear winner to standardize on.
Recommended Tools
Define Evaluation Criteria
Decide upfront which criteria matter most for your use case, typically accuracy, cost, and response speed.
Run the Same Task Across Multiple Models
Use OpenRouter to send the identical prompt to several different models so you can compare outputs directly.
Score Outputs Against Your Rubric
Feed the outputs into Braintrust to score each model's response against your defined evaluation criteria.
Standardize on the Winner
Lock in the top-scoring model as your default for that task going forward.
Tools Used In This Workflow
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