Benchmark results

Generated by node scripts/benchmark-results.mjs from benchmark/index. Do not edit this page by hand.

How to read this

  • A group is one configuration on one set of cases under one version of the scoring rules. Each row is the run a person accepted for its group.
  • Library is the Node library's reviewChange function. It reviews with the model in the row, as a server would.
  • Planted bugs are small changes with bugs put in on purpose. The suite also has clean changes with no bug.
  • AACR-Bench is an outside benchmark of real pull requests. Its known issues are the review comments that the dataset marks as accepted.
  • Issue recall is the share of known issues that the reviews found. Each count adds up every repeat of the run.
  • The brackets give the 95% interval for issue recall. The true recall is likely inside that range.
  • On AACR-Bench, a finding counts toward issue recall only after a person rules it the same issue as a reference comment.
  • Not yet ruled means every finding of the run still waits for a person's ruling. Its issue recall is unknown until then.
  • Location recall is the share of known issues with a finding within one line, whatever the finding says.
  • Precision is the share of reported findings that are correct. An unresolved finding is one the case does not list and no person has ruled on.
  • The precision lower bound counts every unresolved finding as wrong. The upper bound counts every unresolved finding as correct.
  • Clean rate is the share of reviews of clean changes that report no finding.
  • Cost and time are the mean per review. Not measured means the run did not record that number.
  • An A/A twin runs the same build on the same cases a second time. Its noise is the difference in issues found between the two runs.
  • A gap between two rows that is smaller than the A/A noise can be chance.
  • Board numbers come from AACR-Bench's own evaluator. Line numbers match a finding to a reference comment by file and lines.
  • Semantic numbers also need the evaluator's judge to agree that the two say the same thing. F1 combines precision and recall in one number.
  • Noise rate is the share of findings that match no reference comment. Board numbers never decide whether a run is accepted.
  • A subset, such as dev-smoke, covers only the cases it names. Compare two rows only when they ran the same cases.
  • The README shows an AACR-Bench row only once it has board numbers or a ruled hit. This page shows every row.

AACR-Bench

Reviewer Model Group Repeats Issue recall Location recall Precision lower bound Precision upper bound Clean rate Cost per review Time per review Run Accepted date
Claude Code claude-opus-5-5 claude-graph-on, dev split, dev-laptop subset, review mode, laptop path, rules 8, split hash edf0f4863eb8 3 not yet ruled 82/768 (10.7%) 0/137 (0.0%) 137/137 (100.0%) not measured $0.3383 41.5 s 2026-10-13-b43b25b-aacr-claude 2026-10-13
Codex gpt-6.1-sol codex-graph-on, dev split, dev-laptop subset, review mode, laptop path, rules 8, split hash edf0f4863eb8 3 not yet ruled 88/768 (11.5%) 0/180 (0.0%) 180/180 (100.0%) not measured not measured 65.0 s 2026-10-13-b43b25b-aacr-codex 2026-10-13
Library gpt-6.1-sol model-gpt-6.1-sol-graph-on, dev split, dev-laptop subset, review mode, server path, rules 7, split hash edf0f4863eb8 3 not yet ruled 87/768 (11.3%) 0/176 (0.0%) 176/176 (100.0%) not measured $0.0839 58.4 s 2026-10-12-b43b25b-aacr-gpt61 2026-10-13
Scanner only no model scan, dev split, dev-smoke subset, scan mode, laptop path, rules 1, split hash edf0f4863eb8 1 0/16 (0.0%) [interval not available] 0/16 (0.0%) not measured not measured not measured not measured 7.8 s 2026-10-12-eee3d15-aacr-dev-smoke-scan-ci 2026-10-12

Board scores

2026-10-13-b43b25b-aacr-claude, claude-graph-on: not yet board-scored.

2026-10-13-b43b25b-aacr-codex, codex-graph-on: not yet board-scored.

2026-10-12-b43b25b-aacr-gpt61, model-gpt-6.1-sol-graph-on:

Semantic precision Semantic recall Semantic F1 Noise rate Line precision Line recall
22.8% 5.2% 8.5% 77.2% 49.4% 11.3%

2026-10-12-eee3d15-aacr-dev-smoke-scan-ci, scan: not yet board-scored.

Planted bugs

Reviewer Model Group Repeats Issue recall Location recall Precision lower bound Precision upper bound Clean rate Cost per review Time per review Run Accepted date
Claude Code claude-opus-5-5 claude-graph-on, dev split, review mode, laptop path, rules 7 3 129/153 (84.3%) [72.9%, 98.0%] 133/153 (86.9%) 142/146 (97.3%) 146/146 (100.0%) 6/6 (100.0%) $0.0870 26.4 s 2026-10-12-b43b25b-go126-claude 2026-10-12
Codex gpt-6.1-sol codex-graph-on, dev split, review mode, laptop path, rules 7 3 115/153 (75.2%) [62.8%, 92.8%] 120/153 (78.4%) 125/146 (85.6%) 146/146 (100.0%) 6/6 (100.0%) not measured 47.1 s 2026-10-12-b43b25b-go126-codex 2026-10-12
Scanner only no model scan, dev split, scan mode, laptop path, rules 1 1 32/51 (62.7%) [38.9%, 77.4%] 34/51 (66.7%) 35/45 (77.8%) 40/45 (88.9%) 1/2 (50.0%) not measured 8.7 s 2026-10-11-adab00c-planted-scan-ci 2026-10-11
Scanner only no model scan, dev split, scan mode, laptop path, rules 2 1 32/51 (62.7%) [38.5%, 77.3%] 34/51 (66.7%) 35/40 (87.5%) 40/40 (100.0%) 2/2 (100.0%) not measured 8.5 s 2026-10-23-8b51d43-planted-scan-ci 2026-10-23

A/A noise for claude-graph-on: 2026-10-12-b43b25b-go126-claude found 129 issues, and its twin 2026-10-12-b43b25b-go126-claude-aa found 136. The difference is 7 issues across 3 repeats, or 2.33 per repeat.

Benchmark methods

From docs/benchmark-results.md at 68ef6b8.