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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.
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 18
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen3.6 Plus | 0.834 | Not recorded | Not recorded | 2026-04-02 · model_announcement | LLM Stats |
| Qwen3 VL 235B A22B Instruct | 0.822 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3.6-35B-A3B | 0.819 | Not recorded | Not recorded | 2026-04-16 · model_announcement | LLM Stats |
| Qwen3.5-122B-A10B | 0.818 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3 VL 235B A22B Thinking | 0.815 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3.6-27B | 0.812 | Not recorded | Not recorded | 2026-04-21 · model_announcement | LLM Stats |
| Qwen3.5-27B | 0.81 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-35B-A3B | 0.807 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Instruct | 0.807 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 32B Instruct | 0.803 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3 VL 8B Instruct | 0.799 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen2.5 VL 72B Instruct | 0.798 | Not recorded | Not recorded | 2025-01-26 · model_announcement | LLM Stats |
| Qwen3 VL 30B A3B Thinking | 0.778 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen2.5 VL 7B Instruct | 0.778 | Not recorded | Not recorded | 2025-01-26 · model_announcement | LLM Stats |
| Qwen2.5 VL 32B Instruct | 0.771 | Not recorded | Not recorded | 2025-02-28 · model_announcement | LLM Stats |
| Qwen3 VL 8B Thinking | 0.763 | 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 |
| Qwen3 VL 4B Thinking | 0.738 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |