Introducing GLM-OCRZ.AIReleased February 3, 2026

GLM-OCR

Compact optical character recognition model combining CogViT with GLM-0.5B for fast, highly accurate document and table extraction.

multimodal-realtimeProprietary API$0.03 / 1M tok (CogViT + GLM-0.5B)Context: 32.768K (32,768 tokens)

Technical Specifications

Architecture Type
CogViT + GLM-0.5B Encoder-Decoder
Total Parameters
0.9B
Context Window
32.768K (32,768 tokens)
Max Output Tokens
8.192K (8,192 tokens)
Knowledge Cutoff
January 2026
Supported Modalities
vision, text
License & Access
Z.AI Terms of Service

Benchmark Evaluations

Table Structure F1
96.2
Ocr Character Accuracy
98.4

Deep Architectural Overview

GLM-OCR is powered by self-developed CogViT visual encoders and a GLM-0.5B decoder. Pre-trained on billions of image-text pairs via CLIP alignment, it parses dense financial statements, multi-column research papers, and complex tables at $0.03/1M tokens.

Strengths & Considerations

Core Strengths
  • 98.4% character accuracy on complex printed and scanned documents
  • Precise table structure markdown extraction
  • Flat $0.03 / 1M token pricing
Known Limitations
  • Specialized document extraction model, not designed for conversational dialogue

Token & API Pricing

Input Tokens (1M)$0.03
Output Tokens (1M)$0.03
Pricing is verified directly against Z.AI's developer documentation and API rate sheets.

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