kluster.ai LLM Hallucination Detection Leaderboard: leaderboard

Hallucination-detection leaderboard reporting RAG hallucination rates on HaluEval-QA and non-RAG hallucination rates on UltraChat-style prompts.

Metric: Combined Non-Hallucination Rate (percentage). Source: huggingface.co. Source: benchmarklist.com. Saturation forecast: Estimated already saturated. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro99.04#152
2Claude Sonnet 498.6#199
3DeepSeek R1 052898.48#222
4Llama 4 Maverick Instruct FP897.99#414
5Gemma 3 27B (IT)97.91#523
6DeepSeek V3 (0324)97.22#340
7Kimi K297.03#243
8GPT-4o96.66#343
9Llama 4 Scout Instruct96.65#539
10Qwen 3 235B A22B FP895.88#301
11Qwen 3 235B A22B 250795.83#260
12Mistral Small 393.71#627
13Qwen 2.5 VL 7B Instruct93.05#654
14Mistral Nemo Instruct (2407)90.32#936
15Magistral Small81.66#1016

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

Interactive version: theaggregate.ai/benchmark?slug=kluster-ai-llm-hallucination-detection-leaderboard · How It Works · Data refreshed daily, snapshot 2026-10-20.