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About Ranking methodology Changelog

v0.1.26.a85cb1563d03浙ICP备09076226号-7

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INCLUDE SpanishMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

96.4%

2

Qwen3-32BAlibaba

90.9%

3

Qwen3-235B-A22BAlibaba

89.1%

4

Gemma 3 27BGoogle

89.1%

5

GPT-4oOpenAI

89.1%

6

Qwen3-30B-A3BAlibaba · Non-reasoning mode

85.5%

7

Qwen3-14BAlibaba

83.6%

8

QwQ-32BAlibaba

81.8%

9

Qwen2.5-72BAlibaba

80.0%

10

Qwen3-8BAlibaba · Non-reasoning mode

80.0%

13 models total

Benchmark details loading

Back to benchmarks

INCLUDE SpanishMultilingual

Results for 13 models collected from 1 public source.

#ModelScore

1

Gemini 2.5 ProGoogle

96.4%

2

Qwen3-32BAlibaba

90.9%

3

Qwen3-235B-A22BAlibaba

89.1%

4

Gemma 3 27BGoogle

89.1%

5

GPT-4oOpenAI

89.1%

6

Qwen3-30B-A3BAlibaba · Non-reasoning mode

85.5%

7

Qwen3-14BAlibaba

83.6%

8

QwQ-32BAlibaba

81.8%

9

Qwen2.5-72BAlibaba

80.0%

10

Qwen3-8BAlibaba · Non-reasoning mode

80.0%

13 models total