Benchmark

CC-OCR

A comprehensive OCR benchmark for evaluating Large Multimodal Models (LMMs) in literacy. Comprises four OCR-centric tracks: multi-scene text reading…

Modality
multimodal
Categories
multimodal, structured_output, text-to-image, vision
Openness
unknown
Source
llm_stats
Reported scores
18

Reported scores

llm_stats

ModelOrganizationReported valueReportedEvidence
Qwen2.5 VL 32B InstructQwen0.7712025-02-28evidence
Qwen2.5 VL 72B InstructQwen0.7982025-01-26evidence
Qwen2.5 VL 7B InstructQwen0.7782025-01-26evidence
Qwen3 VL 235B A22B InstructQwen0.8222025-09-22evidence
Qwen3 VL 235B A22B ThinkingQwen0.8152025-09-22evidence
Qwen3 VL 30B A3B InstructQwen0.8072025-09-22evidence
Qwen3 VL 30B A3B ThinkingQwen0.7782025-09-22evidence
Qwen3 VL 32B InstructQwen0.8032025-09-22evidence
Qwen3 VL 4B InstructQwen0.7622025-09-22evidence
Qwen3 VL 4B ThinkingQwen0.7382025-09-22evidence
Qwen3 VL 8B InstructQwen0.7992025-09-22evidence
Qwen3 VL 8B ThinkingQwen0.7632025-09-22evidence
Qwen3.5-122B-A10BQwen0.8182026-02-24evidence
Qwen3.5-27BQwen0.812026-02-24evidence
Qwen3.5-35B-A3BQwen0.8072026-02-24evidence
Qwen3.6 PlusQwen0.8342026-04-02evidence
Qwen3.6-27BQwen0.8122026-04-21evidence
Qwen3.6-35B-A3BQwen0.8192026-04-16evidence

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.