HalluHard: A Hard Multi-Turn Hallucination Benchmark: leaderboard

HalluHard evaluates text-only multi-turn hallucination behavior in large language models across legal, research, medical, and coding prompts. Models are judged on groundedness, with inline citations required for factual claims, and the pinned metric is average hallucination rate, reported as a percentage; lower is better. Source: BenchmarkList’s attributed result table.

Metric: Avg (↓) (%). Source: benchmarklist.com. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.530.2#87
2GPT-5.2 (Thinking)38.2#115 (GPT-5.2)
3GPT-5.258.8#115
4Gemini 3 Pro61.9#82
5GPT-5 (Thinking)64.8#105 (GPT-5)
6Claude Sonnet 4.565.6#148
7Gemini 3 Flash69.5#103
8GPT-571.8#105
9DeepSeek V3 Chat75.8#457
10GPT-5 Mini75.9#193
11DeepSeek Reasoner76.8#254
12GLM-4.7 (Thinking)77.1#202 (GLM-4.7)
13Claude Haiku 4.579.5#287
14Kimi K2 (Thinking)80.1#252 (Kimi K2)
15GPT-5 Nano85.1#439

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=halluhard-a-hard-multi-turn-hallucination-benchmark · How It Works · Data refreshed daily, snapshot 2026-11-05.