WorldMemArena: leaderboard

WorldMemArena (Chen et al., 2026) evaluates multimodal agent memory over long multi-session trajectories through an action-world interaction loop, asking checkpoint questions whose supporting evidence has left the local context. This board reports QA Correct, the share of answers a GPT-5.4-mini judge grades correct against the gold answer and evidence, as a percentage where higher is better, for base models answering with full context and for agent harnesses that manage their own memory.

Metric: QA Correct (%; share of answers a GPT-5.4-mini judge marks correct against the gold answer and evidence, over long multi-session memory trajectories). Source: arxiv.org. Saturation forecast: Around May 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 Mini58.27#389
2Gemini 3 Flash51.69#159
3Qwen 3.5 Plus51.05#227
4GPT-5.4 Nano48.31#633
5Claude Haiku 4.536.71#568

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

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