EuroEval Italian

How well a model handles Italian, as the unweighted mean of EuroEval's primary metric over its 8 Italian datasets (sentipolc16, multinerd_it, scala_it, squad_it, ilpost_sum, include_it, multiloko_it, winogrande_it). 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.166
Top resultBest result on this benchmark.78.5%GPT-6.1 Sol
Top-3 spreadPoints from first to third.1.7 pts
YearYear of release.—

Result and price

39 of 174 results

Results

174 results
#ModelResultThe score from the source.
01GPT-6.1 Sol78.5% ±0.3
02GPT-6 Astra77.8% ±0.3
03Gemini 3.7 Flash76.9% ±0.3
04Gemini 3.6 Flash75.1% ±0.3
06GLM-5.3-Flash72.2% ±0.3
07GPT-5.6 Sol70.1% ±0.4
08GPT-6 Sol69.9% ±0.4
10GPT-5.6 Terra67.8% ±0.4
11Qwen3.6 27B FP867.7% ±0.5
14Qwen3.8-27B66.2% ±0.5
19Qwen3.5 35B A3B FP865.7% ±0.5
20Claude Sonnet 4.665.3% ±0.5
24GPT-6 Luna62.1% ±0.6
28GPT-5 mini60.1% ±0.3
28GPT-5.260.1% ±0.4
30GPT-5.6 Luna60.0% ±0.5
31Gemma 4 12B IT59.5% ±0.6
32GPT-OSS 120B58.4% ±0.6
37GLM-4.7-Flash57.1% ±0.5
37GPT-4.157.1% ±0.4
40Qwen3.5 9B56.9% ±0.6
46Qwen3 4B Thinking55.4% ±0.4
49GPT-5 nano53.8% ±0.5
49Gemma 3 27B Pt53.8% ±0.6
52Qwen3.5-4B53.3% ±0.7
53Claude Haiku 4.553.1% ±0.5
57Qwen3.5 9B Base51.3% ±0.7
59Gemma 4 E4B IT50.9% ±0.6
60Ministral 3 8B Base50.5% ±0.8
64Exaone 4.0 32B49.7% ±0.7
65Gemma 3 12B49.2% ±0.3
66Nesso 4B49.1% ±0.3
67Apertus V1.5 70B48.7% ±0.7
69Domyn Small V1.048.1% ±0.6
77Gemma 3 12B Pt46.8% ±0.5
78Qwen3.5 4B Base46.4% ±0.7
84EuroLLM 22B 251244.0% ±0.6
86Aya Expanse 8B43.6% ±0.7
90Gemma 4 E2B IT42.3% ±0.8
92Olmo 3 32B41.5% ±0.5
92Gemma 4 12B41.5% ±0.9
99Llama 3.1 8B38.5% ±0.6
100Qwen3.5 2B38.1% ±0.8
101EuroLLM 9B Instruct37.7% ±0.4
102AMALIA 9B DPO37.6% ±0.6
104AMALIA 9B SFT36.9% ±0.5
105Gemma 3 4B36.7% ±0.4
106DFM Mimir V1.536.6% ±0.6
107SmolLM3 3B Base36.4% ±0.5
108EuroLLM 9B36.2% ±0.4
110Gemma 3 4B Pt35.4% ±0.4
111Olmo 3 7B35.2% ±0.4
114DFM Mimir33.6% ±0.6
115LFM2.5 8B A1B Base33.3% ±0.7
115Apertus V1.1 4B33.3% ±0.9
118Llama 3.2 3B Instruct32.5% ±0.5
119Occiglot 7B Eu531.8% ±0.4
120Qwen3.5 0.8B31.4% ±0.6
121Olmo 3 7B Instruct31.1% ±0.4
124Luciole 23B Base29.0% ±1.1
130Gemma 4 E4B26.4% ±0.9
133Qwen3.5 0.8B Base24.4% ±0.8
133YuLan Mini Instruct24.4% ±0.5
135Luciole 8B Base23.6% ±1.0
136LFM2.5-8B-A1B20.8% ±1.1
137Gemma 3 1B IT20.7% ±0.4
140Aya 23 8B20.1% ±0.8
142LFM2 1.2B19.5% ±0.3
143Gemma 3 1B Pt19.3% ±0.4
145Salamandra 7B18.6% ±0.5
146Apertus V1.1 1.5B18.2% ±0.9
148Gemma 4 E2B16.6% ±0.9
149Pleias 1.2B Preview16.4% ±0.6
150LFM2 700M15.4% ±0.3
151Apertus V1.1 0.5B15.3% ±0.8
152LFM2 350M15.2% ±0.4
154Pleias 3B Preview15.0% ±0.7
155Llama 3.2 1B14.7% ±0.5
156Luciole 1B Base14.1% ±0.8
157Nesso 0.4B Agentic13.1% ±0.8
158Ling Mini 2.012.9% ±0.6
160Pleias 350M Preview12.4% ±0.5
161SmolLM2 360M12.2% ±0.5
163Llama 3.2 1B Instruct11.7% ±0.4
164Gemma 3 270M9.9% ±0.7
167SmolLM2 135M8.5% ±0.3
168Gemma 3 270M IT7.5% ±0.5
170Zagreus 0.4B Ita6.2% ±0.7
173Monad2.0% ±0.3