AskBench (AskOverconfidence): leaderboard

Metric: Final-answer accuracy (0-1, shown times 100) on AskOverconfidence queries that keep all givens but inject confidently stated false claims, AskOverconfidence (400 dialogues: 100 each built from Math500, MedQA, BBH and GPQA-diamond items), three-turn budget with a final answer required on the last turn; a frozen Qwen3-30B-A3B-Instruct-2507 judge classifies each reply, simulates the user and grades final answers; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 3 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro84#145
2GPT-4.173#240
3Qwen 2.5 7B Instruct44.3#846

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=askbench-askoverconfidence · How It Works · Data refreshed daily, snapshot 2026-10-11.