Confidence Decision Faithfulness - GSM8K - Policy Consistency: leaderboard

Whether decisions follow verbal confidence when errors incur penalties. The original paper averages all reported penalty levels within each task. Policy consistency and penalty-normalized regret stay separate; theoretical threshold-policy utility is not an observed model result. Original 0-1 units retained. This series reports Policy Consistency (0-1). Source: https://arxiv.org/html/2601.07767v1.

Metric: Policy Consistency (0-1). Source: arxiv.org. 10 models tracked.

Top models

#ModelScoreOverall rank
1Llama 4 Maverick1#486
2Gemma 3n E4B (IT)0.99#747
3Gemini 2.5 Flash0.99#255
4GPT-4.1 Mini0.99#363
5Gemini 3 Flash0.98#103
6Qwen 3 Next 80B A3B (Thinking)0.98#312
7DeepSeek V3.2 (Non-reasoning)0.97#210 (DeepSeek V3.2)
8DeepSeek V3.2 (Thinking)0.93#210 (DeepSeek V3.2)
9GPT-5 Mini0.91#193
10GPT-5 Nano0.65#439

Interactive version: theaggregate.ai/benchmark?slug=confidence-decision-faithfulness-gsm8k-policy-consistency · How It Works · Data refreshed daily, snapshot 2026-11-05.