RAI-Bench - RAG Robustness (HY Factuality): leaderboard

GovTech Singapore's RAI-Bench asks 331 questions on four Singapore government policy documents, each with its own answer left out of the supplied context. This board is the HyDE setting, where retrieval follows a hypothetical answer. Replies that do not abstain are graded by an LLM judge on a three-tier factuality rubric, and the number is the share judged factual, so higher is better.

Metric: Rate (%). Source: huggingface.co. Saturation forecast: Not forecast. 69 models tracked.

Top models

#ModelScoreOverall rank
1Claude Haiku 4.549#280
2Grok 449#181
3O349#124
4Claude Opus 548#12
5Grok 4.348#188
6O4 Mini47#180
7Claude Opus 4.745#49
8Gemini 2.5 Flash Lite45#422
9Grok 4.1 Fast (Reasoning)44#217 (Grok 4.1 Fast)
10DeepSeek V4 Pro43#102
11Claude Sonnet 543#57
12GLM-542#141
13Kimi K342#30
14GPT-5.6 Luna42#68
15Claude Sonnet 4.541#142

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

Interactive version: theaggregate.ai/benchmark?slug=rai-bench-rag-robustness-hy-factuality · How It Works · Data refreshed daily, snapshot 2026-10-20.