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About Ranking methodology Changelog

v0.1.26.a85cb1563d03浙ICP备09076226号-7

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INCLUDE ItalianMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

100.0%

2

GPT-4oOpenAI

98.2%

3

QwQ-32BAlibaba

96.4%

4

Qwen3-235B-A22BAlibaba

96.4%

5

Qwen2.5-72BAlibaba

94.5%

6

Qwen3-30B-A3BAlibaba

94.5%

7

Qwen3-14BAlibaba

94.5%

8

Qwen3-32BAlibaba · Non-reasoning mode

92.7%

9

Gemma 3 27BGoogle

90.9%

10

Qwen3-8BAlibaba

89.1%

13 models total

Benchmark details loading

Back to benchmarks

INCLUDE ItalianMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

100.0%

2

GPT-4oOpenAI

98.2%

3

QwQ-32BAlibaba

96.4%

4

Qwen3-235B-A22BAlibaba

96.4%

5

Qwen2.5-72BAlibaba

94.5%

6

Qwen3-30B-A3BAlibaba

94.5%

7

Qwen3-14BAlibaba

94.5%

8

Qwen3-32BAlibaba · Non-reasoning mode

92.7%

9

Gemma 3 27BGoogle

90.9%

10

Qwen3-8BAlibaba

89.1%

13 models total