Is the model you run actually better than the frontier?
Register any OpenAI-compatible endpoint -- your fine-tune, a self-hosted model, or a whole pipeline -- and benchmark it head-to-head on real cost and quality.
Your endpoint, in the same run as the field
It joins the model picker and is scored by the same rubric in the same run as every hosted model. You see quality and cost side by side and decide on numbers.
Benchmark against your field, not just the frontier
You pick the comparison set. The question is never did you beat the most expensive model, it is did you beat the one you would actually pay for.
Reproducible evidence, not a one-off
The same benchmark reruns on a schedule or on demand, with run history and exportable results a reviewer can audit.
Any endpoint that speaks the OpenAI format
A fine-tune, a self-hosted model, or a whole RAG or agentic pipeline measured as a black box: prompt in, output scored.
- Register and benchmark your own endpoint vs the frontier
- Quality and cost side by side, exportable
- Scheduled reruns to catch regressions over time
Example run shown above: registered Grok 4.7 endpoint vs 2 frontier models, same rubric.
Pro+ -- $199/mo
The run above is a real benchmark of a Grok 4.7 model registered as a custom endpoint, labeled as such; it illustrates the feature, not a specific customer's fine-tune. Benchmark costs for your endpoint are estimated from the per-token rates you supply, and real inference charges are billed to your own provider account. See the terms for detail.