Benchmark

CharXiv-D

CharXiv-D is the descriptive questions subset of the CharXiv benchmark, designed to assess multimodal large language models' ability to extract basic…

Modality
multimodal
Categories
multimodal, reasoning, structured_output, vision
Openness
unknown
Source
llm_stats
Reported scores
17

Reported scores

llm_stats

ModelOrganizationReported valueReportedEvidence
Command A+Cohere0.882026-05-20evidence
GPT-4.1OpenAI0.8792025-04-14evidence
GPT-4.1 miniOpenAI0.8842025-04-14evidence
GPT-4.1 nanoOpenAI0.7392025-04-14evidence
GPT-4.5OpenAI0.92025-02-27evidence
GPT-4oOpenAI0.8532024-08-06evidence
North Micro Vision InstructCohere0.62026-08-12evidence
Qwen3 VL 30B A3B InstructQwen0.8552025-09-22evidence
Qwen3 VL 30B A3B ThinkingQwen0.8692025-09-22evidence
Qwen3 VL 32B InstructQwen0.9052025-09-22evidence
Qwen3 VL 32B ThinkingQwen0.9022025-09-22evidence
Qwen3 VL 4B InstructQwen0.7622025-09-22evidence
Qwen3 VL 4B ThinkingQwen0.8392025-09-22evidence
Qwen3 VL 8B InstructQwen0.832025-09-22evidence
Qwen3 VL 8B ThinkingQwen0.8592025-09-22evidence
Seed 2.1 ProByteDance0.9552026-06-24evidence
Seed 2.1 TurboByteDance0.9462026-06-24evidence

Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.