GEB-Bench - Story Identification: leaderboard

GEB-Bench (arXiv 2608.04111v2, Tables 2-3): 25-way identification of the abstract structural motif realized by the form of a short story (text input, all models). Judge-free exact-match multiple choice with greedy decoding; accuracy in percent, chance 4%; higher is better.

Metric: Accuracy (%; 25-way, chance 4%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 37 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)92.6#64
2GPT-5.590.1#33
3Kimi K2.584.3#152
4GPT-5.283.5#115
5Gemma 4 31B82.6#212
6Claude Opus 4.875.2#39
7DeepSeek V3.260.3#210
8GLM-4.6V52.9#330
9Llama 4 Scout33.9#648
10Pixtral-12B28.9#805
11InternVL3-8B28.1#624
12Qwen 2 VL 7B19#743
13ERNIE 4.5 VL 28B A3B14

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

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