NOLLI - Jamo Composition: leaderboard

NOLLI (arXiv 2608.04397v1, Table 2): procedurally generated, uniquely solvable English-Korean logic puzzles for 15 models, accuracy pooled over three difficulty tiers calibrated on a reference model. Korean-only task: decompose Hangul syllables into jamo, apply transformations and recompose; percent, higher is better.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (Medium)87.3#33 (GPT-5.5)
2Gemini 3.1 Pro (Preview) (Medium)57.3#64 (Gemini 3.1 Pro (Preview))
3Claude Opus 4.8 (Medium)47#39 (Claude Opus 4.8)
4Qwen 3.5 397B A17B (Non-reasoning)46.3#154 (Qwen 3.5 397B A17B)
5DeepSeek V4 Flash17.3#155
6Gemma 4 31B (IT) (Thinking)13.7#178 (Gemma 4 31B (IT))
7Qwen 3.5 9B (Non-reasoning)12.3#391 (Qwen 3.5 9B)
8GPT-OSS-120B (Medium)8.7#346 (GPT-OSS-120B)
9Solar Open 100B3.7#415
10Llama 4 Maverick2#486
11Qwen 3.5 27B1.3#192
12Llama 3.1 8B Instruct1#1017
13EXAONE 4.0 32B (Thinking)0#615 (EXAONE 4.0 32B)

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

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