Ironbee Raw Code Review - Full - F2: leaderboard

Ironbee raw code review (2026): standalone model review of real pull requests, three repeated runs. Full uses 50 PRs and Frontier 10 PRs; no cohort pooling. Model-specific requested tiers remain explicit; precision, recall, F1 and F2 are separate metrics. Aggregated source fractions are multiplied by 100, with full precision retained. F2 (%).

Metric: F2 (%). Source: raw.githubusercontent.com. Saturation forecast: Rough model projection: around 2026. 52 models tracked.

Top models

#ModelScoreOverall rank
1Ironbee Study claude-sonnet-5.5 - low tier64.38
2Ironbee Study claude-opus-5.5 - low tier62.14
3Ironbee Study claude-opus-5 - low tier61.92
4Ironbee Study grok-4.7 - low tier61.87
5Ironbee Study claude-opus-5.5 - default tier61.86
6Ironbee Study claude-sonnet-5.5 - default tier61.75
7Ironbee Study claude-sonnet-5.5 - xhigh tier61.13
8Ironbee Study muse-spark-1.3 - default tier60.88
9Ironbee Study grok-4.7 - default tier60.67
10Ironbee Study claude-opus-5.5 - xhigh tier60.36

Interactive version: theaggregate.ai/benchmark?slug=ironbee-raw-code-review-full-f2 · How It Works · Data refreshed daily, snapshot 2026-10-21.