Multimodal · Benchmark profile
An OCR-focused benchmark for reading and extracting text from visually complex documents and images.
Data verified 27 Jul 2026 · Methodology 1.8.0
Benchmark score on CC-OCR
Qwen3.6-35B-A3B leads at 81.9%, followed by Qwen3.6 27B (81.2%).
2 ranked models · higher is better · labels show rank and score
| Model | Rank | Provider | Score |
|---|---|---|---|
| Qwen3.6-35B-A3B | #1 | Alibaba Cloud | 81.9% |
| Qwen3.6 27B | #2 | Alibaba Cloud | 81.2% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Qwen3.6-35B-A3B qwen3-6-35b-a3b | Alibaba Cloud | open | Estimated reference | 81.9% |
| #2 | Qwen3.6 27B qwen3.6-27b | Alibaba Cloud | open | Estimated reference | 81.2% |
About CC-OCR
An OCR-focused benchmark for reading and extracting text from visually complex documents and images. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
An OCR-focused benchmark for reading and extracting text from visually complex documents and images.
Qwen3.6-35B-A3B by Alibaba Cloud currently leads with 81.9%.
2 models in the LuminaBench cohort have a qualifying score on this benchmark.
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