Cave-Bench: leaderboard

A coding agent in Claude Code finishes a task correctly, then is falsely blamed for a failure it cannot disprove locally; the score (0-100) averages how far it confesses, ignores the evidence in its workspace, and damages the correct work. Unlike sycophancy tests on opinions, the cost here is real damage to finished work.

Metric: CAVE score (0-100, lower is better). Source: arxiv.org. 14 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 54.47#111
2Qwen 3.8 Max8.77#55
3Claude Opus 59.48#22
4GLM-5.210.58#138
5Kimi K315.15#54
6Hy317.45#195
7Grok 4.523.33#82
8Qwen 3.7 Plus25.43#207
9MiniMax-M328.51#269
10GPT-5.6 Sol35.8#30
11Kimi K2.7 Code39.23#185
12MiniMax-M2.746.96#518
13Qwen 3.5 Flash48.07#435
14Qwen 3.5 9B55.21#803

Interactive version: theaggregate.ai/benchmark?slug=cave-bench · How It Works · Data refreshed daily, snapshot 2026-11-13.