EpiQAL - Masked-Input Reasoning: leaderboard

EpiQAL-C (Emory University, University of Illinois Chicago and Microsoft, 2026): 479 single-answer questions asking which conclusion the authors of a PLOS Neglected Tropical Diseases article drew, with the Discussion section removed from the article the model reads, so the conclusion must be reconstructed from the remaining evidence. The score is exact match of the selected option set in percent, higher is better, zero-shot without chain-of-thought prompting, and selecting extra options fails the item. Qwen3-30B-A3B-Instruct-2507 generated the items, and those that a four-model difficulty pool found easy had their question stems rewritten.

Metric: Exact Match (%; zero-shot, no CoT, full article). Source: arxiv.org. Saturation forecast: Around February 2027. 14 models tracked.

Top models

#ModelScoreOverall rank
1Mistral 7B Instruct (v0.3)80.8#6698
2Mistral Large 2 (Nov) Instruct (2411)68.5#1199
3GPT-5 Mini59.9#349
4Qwen 3 30B A3B 2507 Instruct58.5#1078
5Llama 3.3 70B Instruct [4bit]58#1221
6GPT-4.1 Nano55.9#1992
7Qwen 3 32B54.7#960
8Qwen 3 8B48.4#1838
9Phi-4 Mini Instruct42.6#6452
10GPT-4o Mini21.3#1627
11Llama 3.1 8B Instruct19#4277
12Llama 3.2 3B Instruct8.8#7185

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=epiqal-masked-input-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-12.