ModelScope

ZhipuAI/GLM-5.2
Context window200K tokens
Free budgetDaily login: 200 credits + 50 for linked Alibaba Cloud; 24h expiry; shared; noncommercial experience tokens/mo
Requests / day100 RPD

Router9

z-ai/glm-5.2
Context window1.0M tokens
Free budget20,000 credits/month (~$2) shared tokens/mo
Rate limitsnot published
Shared monthly free credits info
Router9 Free renews 20,000 credits (about $2) each calendar month, shared across allowlisted routes, resetting on the first day at 00:00 UTC with no rollover. Current credit documentation and authenticated Free-plan headers agree on 20,000; older marketing pages still quote 50,000. Six added routes passed short non-streaming text tests on September 14, 2026; MiniMax M3 passed earlier text and streaming checks. Context and vision capabilities are provider-advertised, not newly feature-tested. Paid top-ups are outside the free allowance. https://www.router9.com/docs/token-plan/credits

Get this model the moment it changes

Limits move, models get replaced, better ones launch. Premium routers see this page's data live. Free routers see last month's.

Włącz na żywo · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free ModelScope key, and ZhipuAI/GLM-5.2 answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call ZhipuAI/GLM-5.2 with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ZhipuAI/GLM-5.2",
    "messages": [{"role": "user", "content": "Say hi in five words."}]
  }'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.chat.completions.create(
    model="ZhipuAI/GLM-5.2",
    messages=[{"role": "user", "content": "Say hi in five words."}],
)
print(resp.choices[0].message.content)

The router answers on /v1/chat/completions and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.