PostTrainBench Leaderboard

Benchmark Model Rank Results
agents-on-posttrainbench-v1-1Claude Fable 5 (1M, Max) (Claude Code)#2Accuracy: 41.79
agents-on-posttrainbench-v1-1GPT-5.6 Sol (Max) (Codex CLI)#4Accuracy: 36.23
agents-on-posttrainbench-v1-1Claude Opus 5 (Claude Code)#6Accuracy: 35.04
agents-on-posttrainbench-v1-1Kimi K3 (Claude Code)#7Accuracy: 31.96
agents-on-posttrainbench-v1-1GLM-5.2 (Max) (Claude Code)#8Accuracy: 31.70
agents-on-posttrainbench-v1-1Claude Opus 4.7 (xHigh) (Claude Code)–Accuracy: 28.56
agents-on-posttrainbench-v1-1Claude Opus 4.8 (High) (Claude Code)–Accuracy: 33.84
agents-on-posttrainbench-v1-1GPT-5.4 (High) (Codex CLI)–Accuracy: 19
agents-on-posttrainbench-v1-1GPT-5.5 (xHigh) (Codex CLI)–Accuracy: 27.23
agents-on-posttrainbench-v1-1Gemini 3.1 Pro (OpenCode)–Accuracy: 21.99
agents-on-posttrainbench-v1-1Grok 4.5 (High) (Cursor CLI)–Accuracy: 23.45