EuroEval German

How well a model handles German, as the unweighted mean of EuroEval's primary metric over its 8 German datasets (sb10k, germeval, scala_de, germanquad, mlsum_de, include_de, multiloko_de, winogrande_de). The primary metric differs by task — MCC for classification, knowledge and common-sense reasoning, micro-F1 without MISC for entity recognition, F1 for reading comprehension, chrF++ for summarization, METEOR for simplification — and is always the first of the two the board prints. Only models measured on every dataset are included, so each mean covers the same ground. Most rows are the validation split; some older open-weight rows are the test split, which EuroEval ranks in the same table.

ModelsModels with a result.183
Top resultBest result on this benchmark.68.0%GPT-6 Astra
Top-3 spreadPoints from first to third.0.9 pts
YearYear of release.—

Result and price

38 of 191 results

Results

191 results
#ModelResultThe score from the source.
01GPT-6 Astra68.0% ±0.5
02Gemini 3.7 Flash67.3% ±0.5
03GPT-6.1 Sol67.1% ±0.5
04Gemini 3.6 Flash66.0% ±0.5
05GPT-5.6 Sol63.6% ±0.5
06GPT-6 Sol63.1% ±0.5
09GLM-5.3-Flash59.8% ±0.6
10GPT-5.6 Terra59.7% ±0.6
13Qwen3.8-27B57.2% ±0.7
16Qwen3.6 27B FP856.7% ±0.7
19Qwen3.5 35B A3B FP855.3% ±0.6
21Claude Sonnet 4.654.8% ±0.5
27GPT-5.6 Luna52.6% ±0.6
28GPT-5 mini52.5% ±0.6
30Llama 3.1 70BAbove fitFar above this model's index.52.1% ±0.6
31GPT-4.151.9% ±0.6
33GPT-OSS 120B51.2% ±0.6
36GPT-6 Luna50.8% ±0.5
37Gemma 3 27B Pt50.7% ±0.6
39Gemma 4 12B IT49.9% ±0.8
40GPT-5.249.6% ±0.5
44Qwen3 4B Thinking48.8% ±0.4
48Claude Haiku 4.547.8% ±0.6
49Gemma 3 27B47.2% ±0.5
51GPT-5 nano47.0% ±0.6
52Qwen3.5 9B46.7% ±0.7
56Ministral 3 8B Base45.9% ±0.8
57GLM-4.7 Flash NVFP445.8% ±0.7
60Gemma 3 12B Pt45.3% ±0.7
68Gemma 3 12B42.9% ±0.5
72Apertus V1.5 70B42.4% ±0.8
73Exaone 4.0 32B41.8% ±0.6
76Gemma 4 E4B IT41.4% ±0.7
78Nesso 4B40.9% ±0.5
79Domyn Small V1.040.7% ±0.8
83Qwen3.5-4B39.7% ±0.8
84Qwen3.5 9B Base39.4% ±0.8
86EuroLLM 22B 251238.7% ±0.6
88Olmo 3 32B38.5% ±0.6
93Gemma 4 12B37.3% ±1.0
95Llama 3.1 8B36.6% ±0.8
96Gemma 4 E2B IT35.8% ±0.7
98Aya Expanse 8B35.4% ±0.7
99DFM Mimir V1.535.2% ±0.5
100EuroLLM 9B Instruct35.1% ±0.6
100EuroLLM 9B35.1% ±0.6
102Qwen3.5 2B34.9% ±0.6
105Gemma 3 4B34.0% ±0.5
106Gemma 3 4B Pt33.9% ±0.6
108SmolLM3 3B Base33.8% ±0.6
110Olmo 3 7B33.2% ±0.6
110AMALIA 9B DPO33.2% ±0.5
112LFM2.5 8B A1B Base33.1% ±0.7
113Qwen3.5 4B Base33.0% ±0.8
117Apertus V1.1 4B31.1% ±0.8
118AMALIA 9B SFT31.0% ±0.6
118Occiglot 7B Eu531.0% ±0.7
122Llama 3.2 3B Instruct30.1% ±0.6
126DFM Mimir29.3% ±0.7
127Olmo 3 7B Instruct28.9% ±0.4
134Luciole 23B Base26.8% ±0.9
138Qwen3.5 0.8B25.0% ±0.6
139Qwen3.5 2B Base23.7% ±0.7
142Gemma 4 E4B21.7% ±0.9
142YuLan Mini Instruct21.7% ±0.6
144Luciole 8B Base21.2% ±0.9
147Qwen3.5 0.8B Base21.0% ±0.6
148Aya 23 8B20.9% ±0.7
149LFM2.5-8B-A1B20.6% ±0.9
150LFM2 1.2B20.4% ±0.5
151Gemma 3 1B IT20.1% ±0.6
152Lizzy 7B19.7% ±0.5
156Trustllm V2 8B SFT17.7% ±0.4
157Apertus V1.1 1.5B17.6% ±0.7
157TildeOpen 30B17.6% ±0.8
160Trustllm V2 8B17.3% ±0.8
163Gemma 3 1B Pt16.7% ±0.7
165Salamandra 7B16.3% ±0.6
166Pleias 1.2B Preview15.8% ±0.6
168LFM2 350M13.9% ±0.4
169Apertus V1.1 0.5B13.5% ±0.7
170Llama 3.2 1B13.3% ±0.8
171Llama 3.2 1B Instruct13.2% ±0.5
171Luciole 1B Base13.2% ±0.8
173Gemma 4 E2B12.9% ±0.9
174LFM2 700M12.6% ±0.3
176Pleias 350M Preview11.8% ±0.5
178Gemma 3 270M11.3% ±0.7
180Gemma 3 270M IT9.8% ±0.7
180SmolLM2 360M9.8% ±0.7
182Ling Mini 2.08.1% ±1.2
184SmolLM2 135M7.3% ±0.6
185MiniCPM5-1B7.1% ±0.9
190Monad1.2% ±0.4