AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

CC-OCR

A comprehensive OCR benchmark for evaluating Large Multimodal Models (LMMs) in literacy. Comprises four OCR-centric tracks: multi-scene text reading, multilingual text reading, document parsing, and key information extraction. Contains 39 subsets with 7,058 fully annotated images, 41% sourced from real applications. Tests capabilities including text grounding, multi-orientation text recognition, and detecting hallucination/repetition across diverse visual challenges.

评测信息与证据

来源
LLM Stats
发布者
未收录
评测发布日期
未收录
采集日期
2026-08-17
模态
multimodal

本站保留来源报告的结果,不代表独立复测。请先核对任务版本、评测协议、分数单位和报告日期;不同运行条件不能直接合并为统一排名。

原始资料

报告成绩 18

按来源中的观察顺序展示,顺序不代表排名。日期保留原始精度。

模型数值单位协议报告日期与口径来源
Qwen3.6 Plus0.834未收录未收录2026-04-02 · model_announcementLLM Stats
Qwen3 VL 235B A22B Instruct0.822未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen3.6-35B-A3B0.819未收录未收录2026-04-16 · model_announcementLLM Stats
Qwen3.5-122B-A10B0.818未收录未收录2026-02-24 · model_announcementLLM Stats
Qwen3 VL 235B A22B Thinking0.815未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen3.6-27B0.812未收录未收录2026-04-21 · model_announcementLLM Stats
Qwen3.5-27B0.81未收录未收录2026-02-24 · model_announcementLLM Stats
Qwen3.5-35B-A3B0.807未收录未收录2026-02-24 · model_announcementLLM Stats
Qwen3 VL 30B A3B Instruct0.807未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen3 VL 32B Instruct0.803未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen3 VL 8B Instruct0.799未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen2.5 VL 72B Instruct0.798未收录未收录2025-01-26 · model_announcementLLM Stats
Qwen3 VL 30B A3B Thinking0.778未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen2.5 VL 7B Instruct0.778未收录未收录2025-01-26 · model_announcementLLM Stats
Qwen2.5 VL 32B Instruct0.771未收录未收录2025-02-28 · model_announcementLLM Stats
Qwen3 VL 8B Thinking0.763未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen3 VL 4B Instruct0.762未收录未收录2025-09-22 · model_announcementLLM Stats
Qwen3 VL 4B Thinking0.738未收录未收录2025-09-22 · model_announcementLLM Stats