Pyyan / Compare / GLM-OCR vs Cohere Parse 5
GLM-OCR vs Cohere Parse 5
2 of 5OCR & Document AI · verified 2 Sept 2026
GLM-OCRZhipu AIcurrentCCohere Parse 5Coherecurrent
| Specification | GLM-OCR | Cohere Parse 5 |
|---|---|---|
| Summary | Currently the top scorer on document parsing. | Loses the benchmark, wins the invoice. $1.50 per thousand pages. |
| OmniDocBench | 94.6 | 79.2 on ParseBench |
| Open weights | Yes | No |
| Handles | Tables, formulas, handwriting | Tables as HTML, forms, diagrams, bounding boxes |
| Licence | Open weights | Proprietary |
| Kind | Vision language model | Vision language model, 2.3B |
| Category | OCR & Document AI | OCR & Document AI |
| Official | Zhipu AI ↗ | — |
Highlighted rows are where these differ.
GLM-OCR
- Ahead of Gemini 3 Pro and GPT-5.2 on the same benchmark
- 94.0 on OCRBench
Best for complex documents end to end.
Cohere Parse 5
- 2.3B vision language model, about 4.6GB, that turns a page into clean Markdown
- Scores 79.2 on Cohere's ParseBench, behind GPT-5.5 at 84.4 and Opus 4.8 at 84.3
- $1.50 per thousand pages at 4.5 pages a second, which is where it actually wins
Best for documents at volume.