Grip on LLMs - Dutch Simplification Average: leaderboard

Grip on LLMs (From Values to Benchmarks, arXiv 2608.09925v1, Appendix D), a Dutch governmental evaluation suite built with the City of Amsterdam. Dutch text simplification: mean SARI over City of Amsterdam communication sentence pairs and a filtered INT Duidelijke Taal subset, 0-100. Higher is better.

Metric: SARI (0-100; mean of two datasets). Source: arxiv.org. Saturation forecast: Not forecast. 31 models tracked.

Top models

#ModelScoreOverall rank
1GEITje-7B-ultra45.77#1435
2OLMo-2-0325-32B-Instruct43.71#847
3Mistral Large 343.7#410
4Gemma 3 27B (IT)43.1#528
5OLMo-2-1124-7B-Instruct42.38#1343
6aya-expanse-32B41.56#687
7Phi-4 Mini Instruct40.99#1232
8GPT-4o40.91#357
9EuroLLM-9B-Instruct40.78#1047
10GPT-540.74#105
11Gemma 3 12B (IT)40.6#672
12Llama 3.1 8B Instruct40.44#1017
13Mistral 7B Instruct (v0.3)39.7#1255
14Qwen 3 32B39.54#449
15Mistral Medium 339.48#507

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

Interactive version: theaggregate.ai/benchmark?slug=grip-on-llms-dutch-simplification-average · How It Works · Data refreshed daily, snapshot 2026-11-05.