PhantomBench - Terms (Meaning): leaderboard

PhantomBench (2026) asks language models about generated terms and entities that do not exist, verified absent from a 2.3-trillion-token corpus, and counts answers that invent content instead of abstaining, as labeled by a Gemini 2.5 Flash judge. This board is the hallucination rate in percent on 1,060 non-existent terms modeled on medical abbreviations, science glossaries and legal terms, when the prompt asks what it means, presupposing it exists; lower is better.

Metric: Hallucination rate (%): share of answers that do not abstain on the Phantom-T subset (1,060 generated non-existent terms modeled on medical abbreviations, science glossaries and legal terms), verified absent from the 2.3-trillion-token Dolma corpus, when the prompt asks what the concept means or refers to (presupposing it exists); a Gemini 2.5 Flash judge labels abstention; reasoning-model rates count only generations that reached a final answer; lower is better. Source: arxiv.org. 16 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 14B8.02#1233
2Qwen 3 4B8.87#2281
3Qwen 3 8B9.06#1830
4Qwen 2.5 7B Instruct10.94#2564
5Qwen 3 32B13.68#960
6Qwen 3 1.7B22.76#5520
7Llama 3.1 8B Instruct26.42#4246
8Gemma 2 9B (IT)27.64#2262
9Gemini 2.5 Flash33.21#453
10Gemini 2.5 Pro35#266
11GPT-OSS-20B (Medium)41.01#1147 (GPT-OSS-20B)
12Mistral 7B Instruct (v0.3)54.62#6653
13GPT-OSS-20B (Low)54.77#1147 (GPT-OSS-20B)
14DeepSeek R1 Distill Qwen 32B66.96#1788
15Gemma 3 12B (IT)87.26#1837

Interactive version: theaggregate.ai/benchmark?slug=phantombench-terms-meaning · How It Works · Data refreshed daily, snapshot 2026-11-13.