MMOOC - Misleading Premise (Open-Ended VQA): leaderboard

MMOOC also tests answering under shifted context, where the question is still answerable from the image. This board covers open-ended visual questions where the question carries a false or irrelevant premise while the visual query stays answerable, and averages accuracy with a judge rating of correctness and evidence consistency in the answer.

Metric: Shifted in-context score (%; mean of accuracy on the answerable Misleading Premise Open-Ended VQA questions and answer rationality, the mean 0-1 judge score of the answer's correctness and evidence consistency in steps of 0.25; judge scores averaged over GPT-5.6, Claude Opus 5 and DeepSeek-V4-Pro). Source: arxiv.org. 18 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 27B90.5#359
2Qwen 3.5 122B A10B90.25#331
3Llama 4 Maverick77.5#1099
4GPT-4o76.75#741
5Ministral 3 8B76.75#2023
6Gemma 4 31B75.75#394
7O174.75#393
8Gemma 4 26B74.25#612
9O371#228
10Ministral 3 14B65.25#1845
11InternVL3-8B62.5#1688
12Gemini 3.1 Pro (Preview)61.5#94
13Claude Opus 4.621.75#102

Interactive version: theaggregate.ai/benchmark?slug=mmooc-misleading-premise-open-ended-vqa · How It Works · Data refreshed daily, snapshot 2026-11-13.