MCJudgeBench - Prompt-Variant Inconsistency: leaderboard

Metric: Procedural inconsistency rate under evaluation-prompt variants with parse penalty (%, CIR dagger prompt): share of constraint predictions that differ from the reference prediction when the constraint list is reordered or reformatted or the prompt sections are reordered, unparsable outputs counted as inconsistent, temperature 0; the judge sees an instruction, a candidate response and its explicit constraint list and labels each constraint yes, partial or no, over the 653 constraints of 141 multi-constraint instructions of MCJudgeBench; lower is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview)2.91
2Gemini 2.5 Flash Lite6.13
3Claude Sonnet 4.6 (Thinking)6.18
4Qwen 3.5 4B (Non-reasoning)6.28
5Claude Haiku 4.56.33
6Claude Sonnet 4.66.74
7Claude Haiku 4.5 (Thinking)7.15
8Gemini 2.5 Flash Lite (Thinking)7.43
9GPT-5.28.63
10GPT-5.2 (Non-reasoning)9.04
11Llama 3.2 3B Instruct27.58

Interactive version: theaggregate.ai/benchmark?slug=mcjudgebench-prompt-variant-inconsistency · How It Works · Data refreshed daily, snapshot 2026-10-07.