● GuidedAdvanced
Tell us the job — we'll find the verdict

What do you want an LLM to do?

Describe it in a sentence — type, talk, or upload examples. We'll read the task, help you build a fair test, and tell you the cheapest model that's good enough, with the confidence to back it. No jargon required.

Triage support tickets Extract invoice fields Moderate comments
Modeljury

How costly is a mistake here? This decides which models even make the shortlist — for something like invoicing, we won't waste your time on models that can't be trusted with it.

Modeljury

Examples are optional — but adding a few labelled ones (real inputs with the answer you'd want) measurably sharpens the verdict, since we grade each model on your data. Generate some, upload a file, type your own — or skip ahead.

Modeljury

How hard is this for today's models?
EasyModerateChallengingVery hard
🔒 Set once, from your task and examples together — it won't drift
Modeljury

Last thing: how good does it need to be, and how sure do you need to be about it? We only crown a model we're confident actually clears your bar — not one that got lucky on a small test. We've set a starting point from how critical you said this is.

How good is good enough?90%
50%75%99%
How sure do you need to be? (driven by how critical this is)
Where can it run? (filters the shortlist)
Shortlist — we'll test these on your data. Untick any you don't want to run.
Verdict · first run free
50%75%100%
Cost / 1k tokens
Provider uptime (90d)
Tested on
▸ See the ones it got wrong

Full comparison

The cheapest model that clears your bar is highlighted. Pass = we're confident its true accuracy clears your bar.
ModelAccuracy (range)Cost /1kUptimeVerdict

Accuracy vs cost

Up and to the left is better — accurate and cheap. The dashed line is your bar; the vertical bars are each model's confidence range.
In the product this is also delivered as a branded 3-page PDF to your email and saved to your account. Re-runs and continuous monitoring (alerting you when a cheaper model clears your bar) are on the paid plans.
Prototype — the flow and the way results are presented are real; model scores here are illustrative so it always runs. In the product these come from a live bake-off graded against your examples, with uptime read from OpenRouter's per-model availability data.