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The public leaderboard measures generic tasks. Your app isn't generic. Send us the jobs it actually does and we'll run them against the candidate models, measured and priced, then hand back a routing table: the least-expensive model that still passes each task — savings included.
The jobs your app actually does — a few example prompts per task. A support answer, a tool call, an extraction. No data or secrets needed.
The same prompts go to every candidate model, scored by deterministic validators — the exact method behind the public leaderboard, run on your workload.
Per task: the least-expensive model that still clears the quality bar, with pass-rate, latency, and cost per call — plus the total savings vs. your current setup.
We ran this exact process on a real support chatbot and built a per-action routing table that cut model cost 31% with no measurable accuracy loss. Read the case study →
Goes straight to the operator. We reply at the contact you give, usually within a business day.