An OCR-focused benchmark for reading and extracting text from visually complex documents and images.
BenchLM is tracking CC-OCR in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
BenchLM mirrors the published tracked score view for CC-OCR. Qwen3.6 Plus leads the public snapshot at 83.4% , followed by Qwen3.5 397B (82.0%) and Kimi K2.5 (79.7%). BenchLM does not use these results to rank models overall.
Qwen3.6 Plus
Alibaba
qwen3-6-plus
Qwen3.5 397B
Alibaba
qwen3-5-397b
Kimi K2.5
Moonshot AI
kimi-k2-5
The published CC-OCR snapshot is tightly clustered at the top: Qwen3.6 Plus sits at 83.4%, while the third row is only 3.7 points behind. The broader top-10 spread is 13.1 points, so the benchmark still separates strong models even when the leaders cluster.
5 models have been evaluated on CC-OCR. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. CC-OCR is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Optical character recognition
Format
Text extraction from images and documents
Difficulty
Document reading
CC-OCR is useful as a direct check on raw reading ability before higher-level reasoning. It highlights whether failures come from extraction quality or from later reasoning over the extracted content.
Version
CC-OCR 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
An OCR-focused benchmark for reading and extracting text from visually complex documents and images.
Qwen3.6 Plus currently leads the published CC-OCR snapshot with a tracked score of 83.4%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
5 AI models are included in BenchLM's mirrored CC-OCR snapshot, based on the public leaderboard captured on April 10, 2026.
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