
Run LLM evals on your own prompt. Compare GPT, Claude and Gemini on blind-graded test cases to see which model and prompt score best and what each one costs.
A startup from Seattle, the United States, founded by Ryan Chin.
This page is designed to help you find out whether PromptJury is good and if it is the right choice for you.
PromptJury runs LLM evals on your own prompt, with no code and no API key. Describe the task and PromptJury drafts a grading guide for you to approve, writes realistic test cases (or you upload a CSV or JSONL file), and drafts competing prompts. Every prompt and model answers every test case. A jury of models from different makers grades each answer blind; no model grades its own answers, and the score is the jurors' median.
The verdict names the model and prompt to ship, the score out of 10 with its likely range, and the cost per 1,000 calls. When the top two are within the margin of error it says "too close to call", and it names a value pick: the cheapest model reliably within half a point of the winner. Each model gets a suggested fix you can re-test, and saved cases can be re-run when models change.
Agencies can export white-label verdict pages and PDF reports. New accounts get 200 free credits with no card; paid plans start at $25 a month.
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PromptJury runs LLM evals without code and without asking you to bring a test set or grading guide.
You describe the task in two sentences. PromptJury drafts the grading guide, which you approve before anything runs, then writes realistic test cases, including hard ones, and drafts competing prompts.
Every prompt and model answers every case. A jury of models from different makers grades each answer blind: graders never see which model wrote an answer, no model grades its own work, and scores are the median with a range. If the top two are within the margin, it says “too close to call.” The result is one recommendation with its cost per 1,000 calls, plus the cheapest model that scores within half a point of the winner.
Choose PromptJury if you need to know which prompt and model to ship, and why, without building a test harness.
Developer eval platforms such as Promptfoo, Braintrust, LangSmith and Langfuse expect an SDK or config and your own test cases and grading guide. PromptJury writes those for you and gives you a verdict in one sitting, with a quote before every run.
There’s no API key to paste, and you can compare GPT, Claude, Gemini and other models on OpenRouter side by side. Agencies can hand clients a report with their own logo showing the method, test cases and scores. It doesn’t do tracing, production monitoring or CI, so teams that need those can use both.
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