ModelScope

Qwen/Qwen3-235B-A22B-Instruct-2507
Context window262K tokens
Free budgetDaily login: 200 credits + 50 for linked Alibaba Cloud; 24h expiry; shared; noncommercial experience tokens/mo
Requests / day200 RPD

Router9

qwen/qwen3-235b-a22b-2507
Context window262K 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

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Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free ModelScope key, and Qwen/Qwen3-235B-A22B-Instruct-2507 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 Qwen/Qwen3-235B-A22B-Instruct-2507 with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen3-235B-A22B-Instruct-2507",
    "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="Qwen/Qwen3-235B-A22B-Instruct-2507",
    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.