ClankerBar/Docs/Evals

Review-model evals

How code-review models do on a fixed suite of review cases, so you can pick models for your own review phase. Every comparison is taken over the cases all the chosen models have reviews for.

Models

8 shared cases, 160 reviews (per model: claude-opus-5-5 8, commandcode/ornith/ornith-1.5-122b:free 8, opencode-go/beam-free 8, opencode-go/deepseek-v4.1-flash 8, opencode-go/glm-5.3-flash 24, opencode-go/gpt-6-luna 24, opencode-go/gpt-6-luna (core+lens:concurrency) 8, opencode-go/gpt-6-luna (core+lens:correctness) 8, opencode-go/gpt-6-luna (core+lens:evidence) 8, opencode-go/gpt-6-luna (core+lens:scale) 8, opencode-go/gpt-6-luna (core+lens:seams) 8, opencode-go/gpt-6-luna (core+lens:security) 8, opencode-go/longcat-2.5-preview-free 8, opencode-go/mimo-v2.6-flash 8, opencode-go/minimax-m3.1-flash-free 8, opencode-go/qwen3.8-flash 8) useful

ModelWeighted recallMUST recallFalse MUSTs (negatives)PrecisionFailed reviewsCost / reviewWall / review
claude-opus-5-565.4%85.7%0.0084.4%0$0.865140s
commandcode/ornith/ornith-1.5-122b:free31.4%14.3%0.0083.3%0$0.000976s
opencode-go/beam-free40.4%28.6%0.00100.0%0$0.001509s
opencode-go/deepseek-v4.1-flash45.7%57.1%0.0077.4%0$0.068495s
opencode-go/glm-5.3-flash50.8%54.8%0.0067.7%0$0.112380s
opencode-go/gpt-6-luna46.3%69.0%0.0090.3%0$0.02187s
opencode-go/gpt-6-luna (core+lens:concurrency)7.1%4.8%0.00100.0%0$0.01765s
opencode-go/gpt-6-luna (core+lens:correctness)40.1%59.5%0.0064.3%0$0.01977s
opencode-go/gpt-6-luna (core+lens:evidence)36.0%52.4%0.0071.4%0$0.01773s
opencode-go/gpt-6-luna (core+lens:scale)3.2%0.0%0.0025.0%0$0.01351s
opencode-go/gpt-6-luna (core+lens:seams)36.5%38.1%0.0081.3%0$0.023102s
opencode-go/gpt-6-luna (core+lens:security)0.0%0.0%0.000.0%0$0.01974s
opencode-go/longcat-2.5-preview-free40.5%59.5%0.0083.3%1$0.0011085s
opencode-go/mimo-v2.6-flash35.1%42.9%0.00100.0%4$0.0491500s
opencode-go/minimax-m3.1-flash-free60.2%66.7%0.0076.2%0$0.001887s
opencode-go/qwen3.8-flash57.9%57.1%0.0076.4%1$0.102987s