Model card
GLM-OCR.
Zhipu AIopen-source2 current SOTA
§ 02 · Benchmarks
Every benchmark GLM-OCR has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | OmniDocBench | Computer Vision · Document Parsing | accuracy | 94.6% | #1 | — | source ↗ |
| 02 | OmniDocBench | Computer Vision · Document Parsing | composite | 94.6% | #1 | — | source ↗ |
| 03 | olmOCR-Bench | Computer Vision · Document Parsing | accuracy | 75.2% | #17 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where GLM-OCR actually performs.
§ 05 · Related models
Other Zhipu AI models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
2
results
glm-ocr-github
1
result
0 of 3 rows marked verified.