InfoVQA
InfoVQA dataset with 30,000 questions and 5,000 infographic images requiring joint reasoning over document layout, textual content, graphical elements, and data visualizations with elementary reasoning and arithmetic skills
Qwen2.5 VL 32B Instruct from Alibaba Cloud / Qwen Team currently leads the InfoVQA leaderboard with a score of 0.834 across 9 evaluated AI models.
Qwen2.5 VL 32B Instruct leads with 83.4%, followed by Qwen2.5 VL 7B Instruct at 82.6% and 
DeepSeek VL2 at 78.1%.
Progress Over Time
Interactive timeline showing model performance evolution on InfoVQA
InfoVQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 34B | — | — | ||
| 2 | Alibaba Cloud / Qwen Team | 8B | — | — | ||
| 3 | DeepSeek | 27B | — | — | ||
| 4 | DeepSeek | 16B | — | — | ||
| 5 |  Microsoft | 6B | — | — | ||
| 6 |  Google | 27B | — | — | ||
| 7 | DeepSeek | 3B | — | — | ||
| 8 | Google | 12B | — | — | ||
| 9 | Google | 4B | — | — |
FAQ
Common questions about InfoVQA.
More evaluations to explore
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