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About Ranking methodology Changelog

v0.1.53.364ac010a008浙ICP备09076226号-7

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MathVision (w/ Python)Multimodal

Results for 14 models collected from 6 public sources.

Ranking Sources

#ModelScore

1

Claude Fable 5Anthropic

98.6%

2

GPT-5.6 SolOpenAI

97.8%

3

Kimi K3Moonshot AI

97.8%

4

Qwen3.8-MaxAlibaba

97.7%

5

Claude Opus 4.8Anthropic

97.1%

6

GPT-5.5OpenAI

96.8%

7

GPT-5.4OpenAI

96.1%

8

Qwen3.8-Flash-NextAlibaba

95.7%

9

Gemini 3.1 ProGoogle

95.7%

10

Qwen3.8-27BAlibaba

94.6%

14 models total

Benchmark details loading

Back to benchmarks

MathVision (w/ Python)Multimodal

Results for 14 models collected from 6 public sources.

Ranking Sources

#ModelScore

1

Claude Fable 5Anthropic

98.6%

2

GPT-5.6 SolOpenAI

97.8%

3

Kimi K3Moonshot AI

97.8%

4

Qwen3.8-MaxAlibaba

97.7%

5

Claude Opus 4.8Anthropic

97.1%

6

GPT-5.5OpenAI

96.8%

7

GPT-5.4OpenAI

96.1%

8

Qwen3.8-Flash-NextAlibaba

95.7%

9

Gemini 3.1 ProGoogle

95.7%

10

Qwen3.8-27BAlibaba

94.6%

14 models total