CharXiv-D
CharXiv-D is the descriptive questions subset of the CharXiv benchmark, designed to assess multimodal large language models' ability to extract basic information from scientific charts. It contains descriptive questions covering information extraction, enumeration, pattern recognition, and counting across 2,323 diverse charts from arXiv papers, all curated and verified by human experts.
Qwen3 VL 32B Instruct from Alibaba Cloud / Qwen Team currently leads the CharXiv-D leaderboard with a score of 0.905 across 13 evaluated AI models.
Qwen3 VL 32B Instruct leads with 90.5%, followed by Qwen3 VL 32B Thinking at 90.2% and 
GPT-4.5 at 90.0%.
Progress Over Time
Interactive timeline showing model performance evolution on CharXiv-D
CharXiv-D Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 2 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 3 | OpenAI | — | — | — | ||
| 4 | OpenAI | — | 1.0M | $0.40 / $1.60 | ||
| 5 | OpenAI | — | 1.0M | $2.00 / $8.00 | ||
| 6 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 7 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.18 / $2.09 | ||
| 8 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 9 | OpenAI | — | 128K | $2.50 / $10.00 | ||
| 10 | Alibaba Cloud / Qwen Team | 4B | 262K | $0.10 / $1.00 | ||
| 11 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.08 / $0.50 | ||
| 12 | Alibaba Cloud / Qwen Team | 4B | 262K | $0.10 / $0.60 | ||
| 13 | OpenAI | — | 1.0M | $0.10 / $0.40 |
FAQ
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