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About Ranking methodology Changelog

v0.1.26.a85cb1563d03浙ICP备09076226号-7

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INCLUDE VietnameseMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

89.1%

2

Qwen3-235B-A22BAlibaba

87.3%

3

GPT-4oOpenAI

81.8%

4

Qwen3-32BAlibaba

81.8%

5

Qwen3-30B-A3BAlibaba · Non-reasoning mode

81.8%

6

Gemma 3 27BGoogle

74.5%

7

Qwen2.5-72BAlibaba

72.7%

8

Qwen3-14BAlibaba

72.7%

9

Qwen3-8BAlibaba

72.7%

10

QwQ-32BAlibaba

69.1%

13 models total

Benchmark details loading

Back to benchmarks

INCLUDE VietnameseMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

89.1%

2

Qwen3-235B-A22BAlibaba

87.3%

3

GPT-4oOpenAI

81.8%

4

Qwen3-32BAlibaba

81.8%

5

Qwen3-30B-A3BAlibaba · Non-reasoning mode

81.8%

6

Gemma 3 27BGoogle

74.5%

7

Qwen2.5-72BAlibaba

72.7%

8

Qwen3-14BAlibaba

72.7%

9

Qwen3-8BAlibaba

72.7%

10

QwQ-32BAlibaba

69.1%

13 models total