GL
GLM-OCR
Release date: 2026-02-03Updated: 2026-06-14 23:13:18.967985
Parameters
900M
Context length
8K
Chinese support
Supported
Reasoning ability
GLM-OCR is an AI model published by Zhipu AI, released on 2026-02-03, for Vision model, with 900M parameters, and 8K context length, requiring about 1.8GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
GLM-OCR
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
4K tokens
Model type
Vision model
Modality (in / out)
Text, Image → Text
Release date
2026-02-03
Model file size
1.8GB
MoE architecture
No
Total params / Active params
900M / N/A
Knowledge cutoff
No data
GLM-OCR
Open source & experience
Code license
Weights license
Apache 2.0- Commercial use permitted
GitHub repo
Hugging Face
Live demo
No live demo
GLM-OCR
Official resources
Paper
DataLearnerAI blog
No blog post yet
GLM-OCR
API details
API speed
5/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | - | $0.030/ 1M |
| Image | - | $0.030/ 1M | - |
GLM-OCR
Benchmark Results
No benchmark data to show.
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GLM-OCR
Publisher
Zhipu AI
View publisher details GLM-OCR
Model Overview
GLM-OCR is an AI model published by Zhipu AI, released on 2026-02-03, for Vision model, with 900M parameters, and 8K context length, requiring about 1.8GB storage.
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