GLM-OCRon your own GPUs.

GLM-OCR turns scans, PDFs and forms into text and structure on GPUs you control. The documents never leave your network.

Start the $4,900 pilot Compare all models

0.9B

LLM_Deploy

Card no. LD-141Issued 2026-10-27Z.ai

GLM-OCR

Pilot $4,900 fixed

Sizes: 0.9B
Active params: All parameters (dense)
Context: 128K
Licence: MIT
Fits on: CPU only at 4-bit, any GPU
Endpoint: llm.yourcompany.internal/v1
Egress: 0
Owner: YOU

The 72-hour pilot with GLM-OCR.

$4,900 fixed. One model, 0.9B parameters: an estimated 1.6 GB at FP8, so it fits on CPU only at 4-bit.

Live on your data

72 h$4,900 fixed

GLM-OCR live on your data in 72 hours. The clock starts after access and prerequisites.

Your endpoint

/v1OpenAI-compatible

OpenAI-compatible endpoint. Your applications switch by changing the base URL.

Your hardware

CPU only at 4-bit, any GPU

The readout

Evalon your data

Reference evaluation on your data. Readout and production scoping.

We size the hardware and source it at cost, with no markup. Ballpark: one H100 80GB ≈ $25–30k; a 4×H100 node ≈ $180–240k; smaller models run on far less.

Same SDK. Change the base URL.

The model is one parameter. Everything else in your application stays as it is.

client = OpenAI(
    base_url="https://llm.yourcompany.internal/v1",   # inside your network
    api_key="your-key",
)
page = client.chat.completions.create(
    model="glm-ocr",
    messages=[{"role": "user", "content": [
        {"type": "image_url", "image_url": {"url": scan_data_url}},
        {"type": "text", "text": "Convert this page to Markdown."},
    ]}],
)