OpenBenchmark AI

Benchmark generative AI with confidence.

Launch human- or AI-judged benchmarks, compare prompts and models, and choose what to keep public, private, or invite-only — all in one streamlined workflow.

Benchmarks

Human or AI judges

Comparisons

Prompts & LLMs

Controls

Public or invite-only

Scenario

User as judge

Human eval
Prompt A
4.6/5
Prompt B
3.9/5
Switch to

LLM-as-judge

Stack multiple judges and scoring rubrics.

Preview

Problem

Benchmarking is slow and inconsistent

Ad-hoc spreadsheets, unclear scoring, and opaque sharing make it hard to trust which prompt or model is actually better. Results often stay siloed or stale.

Solution

OpenBenchmark AI standardizes evaluation

Define rubrics once, invite human judges or plug in LLM judges, and compare prompts or models side-by-side. Publish results or keep them private with controlled access.

Benchmarks

Built for how you measure quality

Run human-in-the-loop studies, automate scoring with model judges, and keep visibility aligned with your org needs.

Human evaluation

User as judge

Collect structured ratings from stakeholders or invited panels with clear instructions and scoring rubrics.

LLM-as-judge

AI-rated benchmarks

Use one or multiple LLMs as evaluators with custom prompts, bias guards, and calibration examples.

Comparisons

Prompts & models

Compare prompts, model families, and versions across the same dataset to see which wins for your use-case.

Access

Public or invite-only

Ship public leaderboards or keep everything private with invite-only access and expiring links.

Data

Ground truths & rubrics

Import datasets, define evaluation criteria once, and reuse them across prompts or model candidates.

Sharing

Private reporting

Share read-only dashboards, export CSVs, or embed summaries for decision-makers.

Workflow

Set up your own benchmark

A guided flow that takes you from dataset to decisions with optional human or model judges.

1

Define the task & success criteria

Import datasets or upload examples, set rubrics, and outline what “good” looks like for your specific use-case.

2

Choose judges: human or LLM

Invite reviewers or configure model judges with calibration prompts and safeguards for fairness.

3

Run comparisons

A/B prompts, swap LLMs, and track scores with confidence intervals and qualitative notes in one place.

4

Publish or keep private

Generate public leaderboards or keep reports invite-only with audit-ready exports for stakeholders.

Snapshot Auto-updates as you test

Overall score

86%
Prompt leaderboard Prompt A → 1st
Model leaderboard Model X beats Model Y
Visibility Invite-only
Keep collaborators aligned with transparent scoring, change logs, and reproducible runs.
See use cases

Get early access

Join the OpenBenchmark AI waitlist

Tell us about your use-case and we’ll prioritize the benchmarks and model judges that matter most to you.

  • Human or AI judge workflows
  • Public, private, or invite-only visibility
  • Prompt and LLM comparisons side-by-side