Kluster Hallucination Detection - Non-RAG Resistance: leaderboard

The "Non-RAG Resistance" subtask of Kluster Hallucination Detection. A task from the Kluster Hallucination Detection benchmark, measuring how reliably a model detects unsupported or fabricated claims.

Metric: Resistance (100 - Hallucination Rate %). Source: huggingface.co. Saturation forecast: Estimated already saturated. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro99.64#152
2Gemma 3 27B (IT)99.52#523
3Claude Sonnet 499.4#199
4GPT-4o99.36#343
5Llama 4 Maverick Instruct FP899.31#414
6DeepSeek R1 052899.22#222
7Qwen 3 235B A22B 250799.18#260
8DeepSeek V3 (0324)99.09#340
9Qwen 3 235B A22B FP897.91#301
10Llama 4 Scout Instruct97.52#539
11Kimi K296.96#243
12Qwen 2.5 VL 7B Instruct95.45#654
13Mistral Small 392.15#627
14Mistral Nemo Instruct (2407)91.26#936
15Magistral Small71.93#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-hallucination-detection-non-rag-resistance · How It Works · Data refreshed daily, snapshot 2026-10-20.