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About Ranking methodology Changelog

v0.1.26.a85cb1563d03浙ICP备09076226号-7

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INCLUDE PortugueseMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

83.9%

2

Qwen3-235B-A22BAlibaba · Non-reasoning mode

82.1%

3

QwQ-32BAlibaba

80.4%

4

GPT-4oOpenAI

78.6%

5

Qwen3-32BAlibaba

76.8%

6

Qwen3-8BAlibaba

75.0%

7

Qwen3-14BAlibaba

75.0%

8

Gemma 3 27BGoogle

75.0%

9

Qwen3-4BAlibaba · Non-reasoning mode

73.2%

10

Qwen3-30B-A3BAlibaba

71.4%

13 models total

Benchmark details loading

Back to benchmarks

INCLUDE PortugueseMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

83.9%

2

Qwen3-235B-A22BAlibaba · Non-reasoning mode

82.1%

3

QwQ-32BAlibaba

80.4%

4

GPT-4oOpenAI

78.6%

5

Qwen3-32BAlibaba

76.8%

6

Qwen3-8BAlibaba

75.0%

7

Qwen3-14BAlibaba

75.0%

8

Gemma 3 27BGoogle

75.0%

9

Qwen3-4BAlibaba · Non-reasoning mode

73.2%

10

Qwen3-30B-A3BAlibaba

71.4%

13 models total