MemeBench: leaderboard

MemeBench (2026) asks vision-language models to explain 1,253 Chinese and English memes about anime, comics, games and online subcultures from the image alone, checked against VIKR checklists of visual clues, identity links, knowledge units and reasoning under two judges. Score is the success rate, the share of memes whose explanation passes all four checklists, in percent; higher is better.

Metric: Success rate (%; visual, identity, knowledge and reasoning checklists all passed) on 1,253 Chinese and English memes centred on anime, comics, games and online subcultures, explained closed-book from the image; scored against VIKR checklists under the intersection of Gemini-3.1-Pro and GPT-5.1 judges, unscored responses counted as failures. Source: arxiv.org. Saturation forecast: Around February 2027. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)60.3#94
2Gemini 3 Flash53.7#164
3GPT-5.6 Sol40.9#30
4Claude Opus 538.3#22
5Kimi K2.537.9#256
6Qwen 3.6 Plus28.4#222
7GPT-5.6 Terra27.8#62
8GPT-5.6 Luna18#121
9Claude Sonnet 517.8#111
10Qwen 3 VL 235B A22B Instruct14.5#522
11MiMo-V2.513.7#354
12Qwen 3.6 Flash12.3#424
13Qwen 3 VL 235B A22B (Thinking)12#451
14Qwen 3 VL 32B Instruct8.4#585
15Qwen 3 VL 32B (Thinking)7.7#559

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

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