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About Ranking methodology Changelog

v0.1.53.364ac010a008浙ICP备09076226号-7

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MLVU (M-Avg)Multimodal

Results for 15 models collected from 5 public sources.

Ranking Sources

#ModelScore

1

Qwen3.8-MaxAlibaba

90.8%

2

GPT-5.6 SolOpenAI

87.6%

3

Qwen3.7-PlusAlibaba

87.4%

4

Qwen3.6-PlusAlibaba

86.7%

5

Qwen3.5-397B-A17BAlibaba

86.7%

6

Qwen3.6-35B-A3BAlibaba

86.2%

7

Qwen3.5-35B-A3BAlibaba

85.6%

8

GPT-5.2OpenAI

85.6%

9

Kimi-K2.5Moonshot AI

85.0%

10

Gemini 3.1 ProGoogle

84.7%

15 models total

Benchmark details loading

Back to benchmarks

MLVU (M-Avg)Multimodal

Results for 15 models collected from 5 public sources.

Ranking Sources

#ModelScore

1

Qwen3.8-MaxAlibaba

90.8%

2

GPT-5.6 SolOpenAI

87.6%

3

Qwen3.7-PlusAlibaba

87.4%

4

Qwen3.6-PlusAlibaba

86.7%

5

Qwen3.5-397B-A17BAlibaba

86.7%

6

Qwen3.6-35B-A3BAlibaba

86.2%

7

Qwen3.5-35B-A3BAlibaba

85.6%

8

GPT-5.2OpenAI

85.6%

9

Kimi-K2.5Moonshot AI

85.0%

10

Gemini 3.1 ProGoogle

84.7%

15 models total