# ReviewBench leaderboard

Agentic benchmark

> Every figure below is reproduced as its upstream source published it: nothing is modelled, estimated, interpolated or converted. `Unavailable` means no source published the value — it is never a zero. Each value carries its evidence state and the date it was observed.

Page: https://modelscale.dev/leaderboards/benchmarks/agentic-review-bench

Every model the catalog carries a published ReviewBench value for, ranked by that value.

## Benchmark record

| Field | Value |
| --- | --- |
| Category | Agentic |
| Measure | Grounded precision, recall, and F1; augmented metrics |
| Tasks | 219 pull requests across 187 repositories and 19 languages |
| Difficulty | — |
| Published by | [ReviewBench: An open benchmark for AI code review](https://github.blog/ai-and-ml/github-copilot/reviewbench-an-open-benchmark-for-ai-code-review/) |

Measures how reliably code-review agents identify useful issues in real pull requests while avoiding false positives.

## ReviewBench ranking

No model in the catalog has a published ReviewBench score. The benchmark is defined by ReviewBench: An open benchmark for AI code review, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.

Rows are ordered by the value the source published, highest first. The source does not state whether a higher value is the better result, so this document does not either: for a benchmark that measures a rate of failure, read the table from the bottom.