EscherVerse: leaderboard

EscherVerse evaluates vision-language models on teleo-spatial reasoning about real-world videos, linking observed spatial change with goal-directed intent. The benchmark is video-based, and the pinned Overall Acc. (%) measures overall answer accuracy on the source leaderboard. Source: BenchmarkList’s attributed result table.

Metric: Overall Acc. (%). Source: benchmarklist.com. Saturation forecast: Around December 2027. 27 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro57.26#159
2GPT-553.36#105
3Gemini 2.5 Flash52.19#255
4Qwen 3 VL 32B (Thinking)49.58#291
5Qwen 3 VL 30B A3B Instruct47.06#390
6Qwen 3 VL 4B (Thinking)46.58#548
7Qwen 3 VL 8B (Thinking)46.45#423
8Qwen 3 VL 8B Instruct46.34#419
9Qwen 3 VL 4B Instruct45.6#510
10InternVL3-8B43.56#624
11Qwen 2.5 VL 7B Instruct38.66#650

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=escherverse · How It Works · Data refreshed daily, snapshot 2026-11-05.