GLM Ocr
GLM Ocr is a language model from Z.ai (Zhipu AI). It is currently free at 1 provider with up to 131K tokens of context. The model supports tool calling. Its weights are open, so it can also run locally.
- Developer
- Z.ai (Zhipu AI)
- Context
- 131K tokens
- Type
- Text
- License
- Open weights
Where to use GLM Ocr for free
Each row is a separate free endpoint with its own limits.
| Provider | Context | Limit | Card | |
|---|---|---|---|---|
Together AI zai-org/GLM-OCR |
131K | Fair use (depends on server load) | — | Open |
Quick start
curl https://api.together.xyz/v1/chat/completions \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-OCR",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.together.xyz/v1",
api_key="YOUR_TOGETHER_API_KEY",
)
reply = client.chat.completions.create(
model="zai-org/GLM-OCR",
messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.together.xyz/v1",
apiKey: process.env.TOGETHER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "zai-org/GLM-OCR",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(reply.choices[0].message.content);Example for Together AI. Any OpenAI-compatible client works: Cursor, Cline, OpenCode, Open WebUI.
Benchmarks
This model is not on the Artificial Analysis leaderboard yet. We do not publish our own estimates.
Similar free models
FAQ
Is GLM Ocr free?
Yes. As of October 24, 2026, GLM Ocr is free at Together AI. Each provider has its own limits — see the table above.
What is the context window of GLM Ocr?
The largest context among free routes is 131,072 tokens. Some providers cap it lower.
How do I call GLM Ocr via API?
Use any OpenAI-compatible client with base URL https://api.together.xyz/v1, model ID zai-org/GLM-OCR, and a Together AI key.
Is GLM Ocr open-weight?
Yes, the weights are published — you can download and run it locally, for example with Ollama or LM Studio.