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LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 17
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Seed 2.1 Pro | 0.955 | Not recorded | Not recorded | 2026-06-24 · model_announcement | LLM Stats |
| Seed 2.1 Turbo | 0.946 | Not recorded | Not recorded | 2026-06-24 · model_announcement | LLM Stats |
| Qwen3 VL 32B Instruct | 0.905 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 32B Thinking | 0.902 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| GPT-4.5 | 0.9 | Not recorded | Not recorded | 2025-02-27 · model_announcement | LLM Stats |
| GPT-4.1 mini | 0.884 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| Command A+ | 0.88 | Not recorded | Not recorded | 2026-05-20 · model_announcement | LLM Stats |
| GPT-4.1 | 0.879 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Thinking | 0.869 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Thinking | 0.859 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Instruct | 0.855 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| GPT-4o | 0.853 | Not recorded | Not recorded | 2024-08-06 · model_announcement | LLM Stats |
| Qwen3 VL 4B Thinking | 0.839 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Instruct | 0.83 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 4B Instruct | 0.762 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| GPT-4.1 nano | 0.739 | Not recorded | Not recorded | 2025-04-14 · model_announcement | LLM Stats |
| North Micro Vision Instruct | 0.6 | Not recorded | Not recorded | 2026-08-12 · model_announcement | LLM Stats |