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About Ranking methodology Changelog

v0.1.26.a85cb1563d03浙ICP备09076226号-7

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MLVU (M-Avg)Multimodal

Results for 12 models collected from 4 public sources.

#ModelScore

1

Qwen3.7-PlusAlibaba

87.4%

2

Qwen3.6-PlusAlibaba

86.7%

3

Qwen3.5-397B-A17BAlibaba

86.7%

4

Qwen3.6-35B-A3BAlibaba

86.2%

5

Qwen3.5-35B-A3BAlibaba

85.6%

6

GPT-5.2OpenAI

85.6%

7

Kimi-K2.5Moonshot AI

85.0%

8

Gemini 3.1 ProGoogle

84.7%

9

Gemini 3 ProGoogle

83.0%

10

Claude Opus 4.6Anthropic

81.7%

12 models total

Benchmark details loading

Back to benchmarks

MLVU (M-Avg)Multimodal

Results for 12 models collected from 4 public sources.

#ModelScore

1

Qwen3.7-PlusAlibaba

87.4%

2

Qwen3.6-PlusAlibaba

86.7%

3

Qwen3.5-397B-A17BAlibaba

86.7%

4

Qwen3.6-35B-A3BAlibaba

86.2%

5

Qwen3.5-35B-A3BAlibaba

85.6%

6

GPT-5.2OpenAI

85.6%

7

Kimi-K2.5Moonshot AI

85.0%

8

Gemini 3.1 ProGoogle

84.7%

9

Gemini 3 ProGoogle

83.0%

10

Claude Opus 4.6Anthropic

81.7%

12 models total