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GLM-4.7 Flash: free via FreeLLMAPI

GLM-4.7 Flash: served free by 4 providers, up to 203K context, tool calling. Provider limits, quotas and setup examples on FreeLLMAPI.

HuggingFace Router

zai-org/GLM-4.7-Flash
Context window203K tokens
Free budget$0.10/mo shared credit tokens/mo
Rate limitsnot published
Small $0.10/month routed credit warning
HuggingFace Inference Providers grants only ~$0.10/month of routed credit on the free tier (PRO is $2/month). Enough for light experimentation; exhausts quickly. Credits apply only to HF-routed requests.

Cloudflare Workers AI

@cf/zai-org/glm-4.7-flash
Context window131K tokens
Free budget~18-45M tokens/mo
Rate limitsnot published
Key is account_id:token info
Cloudflare Workers AI authenticates with a combined credential in the form "account_id:token", not a bare token.

ModelScope

ZhipuAI/GLM-4.7-Flash
Context window131K tokens
Free budgetfree · 2000 req/day account-wide tokens/mo
Requests / day200 RPD

Zhipu AI

glm-4.7-flash
Context window131K tokens
Free budget~30M tokens/mo
Tokens / day1M TPD

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.

Attiva il live · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free HuggingFace Router key, and zai-org/GLM-4.7-Flash 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 zai-org/GLM-4.7-Flash with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org/GLM-4.7-Flash",
    "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="zai-org/GLM-4.7-Flash",
    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.