Text · Z.ai

GLM API

Z.ai GLM API access via RunAPI — MIT-licensed MoE models with up to 200K context, leading open-weight coding benchmarks.

Operational · 7 variants · from $0.010

Try in playground API reference →

runapi.ai

# Base URL
https://runapi.ai

# Endpoints
POST /v1/chat/completions

curl https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "glm-5.1",
  "messages": [
    {
      "role": "user",
      "content": "Read this multi-file repository, find the failing integration test, and propose a patch with an explanation of the root cause."
    }
  ]
}'

from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="glm-5.1",
    messages=[{"role": "user", "content": "Read this multi-file repository, find the failing integration test, and propose a patch with an explanation of the root cause."}]
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "glm-5.1",
  messages: [{ role: "user", content: "Read this multi-file repository, find the failing integration test, and propose a patch with an explanation of the root cause." }]
});

https://runapi.ai /v1/chat/completions

OVERVIEW

GLM is Z.ai's family of MIT-licensed Mixture-of-Experts language models. GLM-4.5 (355B total / 32B active, 128K context) introduced the open-weight MoE line with a flagship and a lighter Air tier. GLM-4.6 and 4.7 extend to 200K context with stronger code generation — 4.7 reaches 73.8% on SWE-bench. The GLM-5 series (744B / 40B active, 200K context) pushes further to 77.8% SWE-bench Verified, and GLM-5.1 holds the top open-weight score on SWE-bench Pro at 58.4%. All are available through RunAPI with one key and per-token billing.

Multiple variants for different speed / quality tiers
Model skill includes docs, schemas, and setup notes
Works with app-focused coding workflows
Failed generations are not charged

VARIANTS

Compare all API variants

Variant	Billing	From
glm-4.5	1K tokens	$0.020	View →
glm-4.5-air	1K tokens	$0.010	View →
glm-4.6	1K tokens	$0.020	View →
glm-4.7	1K tokens	$0.020	View →
glm-5	1K tokens	$0.020	View →
glm-5-turbo	1K tokens	$0.020	View →
glm-5.1	1K tokens	$0.030	View →

API

GLM API endpoints

Use the OpenAI or Anthropic SDK with your RunAPI key. No extra SDK required.

Endpoint	Protocol
/v1/chat/completions	OpenAI compatible

HOW IT WORKS

From model skill to first result in four steps

Choose a model

Pick the model and variant that match your output type, quality bar, and latency target.

Configure

Set your RunAPI key and install the model skill in your coding workspace.

Call

Use the skill instructions to add the model feature inside your application.

Receive

Poll by task ID, stream when supported, or handle the webhook callback.

CONTEXT

What is the GLM API?

GLM models from Z.ai are MIT-licensed MoE LLMs spanning 128K–200K context. GLM-5.1 leads open-weight models on SWE-bench Pro. Through RunAPI they share a single API key with pay-as-you-go token billing, callable from the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages surfaces.

Provider

Z.ai

Modality

Text

WHY RUNAPI