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light estimateLast updated 2026-08-20

Google Cloud vs Z.ai

Google Document AI (Enterprise Document OCR) vs GLM-OCR for ocr & document extraction. Max pages: 200 vs 100 — edge Google Cloud Computed from public benchmarks with dated sources; updated 2026-08-20.

Head to head
Google Document AI (Enterprise Document OCR) compared with GLM-OCR per decision axis
AxisGoogle Document AI (Enterprise Document OCR)GLM-OCREdge
Price$1.5 per 1000 pages—*—
Score—95.22—
Max pages200100Google Cloud
tables✓✓—
handwriting✓✓—
JSON✓✓—

* token-/credit-priced — the headline understates real per-unit cost, so no price edge is awarded.

Strengths & caveats
Google CloudMature, broad processor suite (OCR $1.50/1000 -> $0.60 above 5M pages, Layout Parser $10, Form/Custom $30) with strong layout, tables and handwriting; high-volume tiering is the cheapest at scale. No published OmniDocBench score for the dedicated processors (null); real cost rises sharply for table/form parsing ($10-30/1000) plus GCP project overhead; sync OCR caps ~15 pages, async to ~200 per call.Z.aiHighest published independent OmniDocBench composite of any hosted API in this table (95.22 on v1.6; Z.ai cites 94.62 on v1.5), callable at api.z.ai/api/paas/v4/layout_parsing with text, markdown and image-link output, HTML table reconstruction and handwriting support; the underlying 0.9B model is also self-hostable, and throughput is quoted at 1.86 PDF pages/second. Priced per token ($0.03 per million tokens for both input and output), not per page, so no comparable $/1000-pages rate exists without estimating — excluded from the price axis. Tight caps (100 pages per document, PDF 50MB, single image 10MB) rule it out for large documents, the documented language list is narrower than the hyperscalers', and China-hosted inference may raise data-residency questions for EU/US buyers.
Sources