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.169
Top resultBest result on this test.68.0%GPT-6 Astra
Top-3 spreadPoints from first to third.2.1 pts
YearYear of release.N/A

Result and price

020406080100$0.03$0.1$0.3$1$3$10$30$100RESULTOUTPUT PRICE PER 1M TOKENS · LOG SCALE

Results

177 results
#ModelResultThe score from the source.
01GPT-6 Astra68.0% ±0.5
02Gemini 3.7 Flash67.3% ±0.5
03Gemini 3.6 Flash66.0% ±0.5
04GLM-5.3-Flash63.6% ±0.7
05GPT-5.6 Sol63.6% ±0.5
07GPT-5.6 Terra59.7% ±0.6
09Qwen3.8-27B57.2% ±0.7
12Qwen3.6 27B FP856.7% ±0.7
14Gemma 4 31B55.7% ±0.7
15Qwen3.5 35B A3B FP855.3% ±0.6
17Claude Sonnet 4.654.8% ±0.5
23GPT-5.6 Luna52.6% ±0.6
24GPT-5 mini52.5% ±0.6
26Llama 3.1-70B52.1% ±0.6
27GPT-4.151.9% ±0.6
29GPT-OSS 120B51.2% ±0.6
32Gemma 3 27B Pt50.7% ±0.6
34Gemma 4 12B IT49.9% ±0.8
35GPT-5.249.6% ±0.5
38Gemma 4 26B A4B49.1% ±0.6
39Qwen3 4B Thinking48.8% ±0.4
43Claude Haiku 4.547.8% ±0.6
44Gemma 3 27B47.2% ±0.5
46GPT-5 nano47.0% ±0.6
48Qwen3.5 9B46.7% ±0.7
51Ministral 3 8B Base45.9% ±0.8
53GLM-4.7 Flash NVFP445.8% ±0.7
55Gemma 3 12B Pt45.3% ±0.7
63Gemma 3 12B42.9% ±0.5
65Gemma 4 31B42.6% ±0.8
67Apertus V1.5 70B42.4% ±0.8
68Exaone 4.0 32B41.8% ±0.6
71Gemma 4 E4B IT41.4% ±0.7
73Nesso 4B40.9% ±0.5
75Domyn Small V1.040.7% ±0.7
78Qwen3.5 4B39.7% ±0.8
79Qwen3.5 9B Base39.4% ±0.8
81EuroLLM 22B38.7% ±0.6
83Olmo 3 32B38.5% ±0.6
87Gemma 4 26B A4B37.7% ±1.0
88Gemma 4 12B37.3% ±1.0
90Llama 3.1-8B36.6% ±0.8
91Gemma 4 E2B IT35.8% ±0.7
92Aya Expanse 8B35.4% ±0.7
94EuroLLM 9B35.1% ±0.6
95Qwen3.5 2B34.9% ±0.6
98Gemma 3 4B34.0% ±0.5
99Gemma 3 4B Pt33.9% ±0.6
101SmolLM3 3B Base33.8% ±0.6
103Olmo 3 7B33.2% ±0.6
104LFM2.5 8B A1B Base33.1% ±0.7
105Qwen3.5 4B Base33.0% ±0.8
109Apertus V1.1 4B31.1% ±0.6
110Occiglot 7B Eu531.0% ±0.7
113Llama 3.2 3B Instruct30.1% ±0.5
117DFM Mimir29.3% ±0.6
118Olmo 3 7B Instruct28.9% ±0.4
125Luciole 23B Base26.8% ±0.9
129Qwen3.5 0.8B25.0% ±0.5
130Qwen3.5 2B Base23.7% ±0.6
133Gemma 4 E4B21.7% ±0.8
134YuLan Mini Instruct21.7% ±0.5
135Luciole 8B Base21.2% ±0.9
138Qwen3.5 0.8B Base21.0% ±0.6
139Aya 23 8B20.9% ±0.6
140LFM2.5-8B-A1B20.6% ±0.8
141LFM2 1.2B20.4% ±0.5
142Gemma 3 1B IT20.1% ±0.6
143Lizzy 7B19.7% ±0.4
145Apertus V1.1 1.5B17.6% ±0.6
147TildeOpen 30B17.6% ±0.8
149Gemma 3 1B Pt16.7% ±0.8
151Salamandra 7B16.3% ±0.6
152Pleias 1.2B Preview15.8% ±0.6
154LFM2 350M13.9% ±0.3
155Apertus V1.1 0.5B13.5% ±0.7
156Llama 3.2 1B13.3% ±0.6
157Llama 3.2 1B Instruct13.2% ±0.5
158Luciole 1B Base13.2% ±0.8
159Gemma 4 E2B12.9% ±0.9
160LFM2 700M12.6% ±0.4
162Pleias 350M Preview11.8% ±0.4
164Gemma 3 270M11.3% ±0.8
166Gemma 3 270M IT9.8% ±0.6
167SmolLM2 360M9.8% ±0.6
169Ling Mini 2.08.1% ±1.2
171SmolLM2 135M7.3% ±0.5
172MiniCPM5-1B7.1% ±0.7
176Monad1.2% ±0.3