Swiss-Bench SBP-002 - Hallucination Detection: leaderboard

Metric: Correct rate (%) on the 63 hallucination-detection items (plausible but wrong legal claims to identify and correct) of Swiss-Bench SBP-002 (expert-written Swiss regulatory and legal questions in German, French and Italian), answered from parametric knowledge (no retrieval or system prompt, temperature 0, 4,096 output tokens); an item counts as correct when the majority grade of a three-judge panel (GPT-4o, Claude Sonnet 4, Qwen3-235B) scoring legal accuracy, citation accuracy and completeness against the reference answer is C (weighted score at least 0.8); higher is better. Source: arxiv.org. Saturation forecast: Around April 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 Plus (2026-02-15)30.2#114
2Gemini 2.5 Flash15.9#237
3GLM-59.5#137
4GPT-4o6.3#333
5Claude Sonnet 46.3#194
6Mistral Large 2 (Nov) Instruct (2411)6.3#458
7MiniMax-M2.54.8#295
8GPT-OSS-120B1.6#330
9MiMo-V2-Flash0#359

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

Interactive version: theaggregate.ai/benchmark?slug=swiss-bench-sbp-002-hallucination-detection · How It Works · Data refreshed daily, snapshot 2026-10-11.