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Qwen3 VL 235B A22B Instruct: free via FreeLLMAPI

Qwen3 VL 235B A22B Instruct: served free by 1 provider, up to 131K context, vision. Live limits, quirks, and quota on freellmapi.co.

ModelScope

Qwen/Qwen3-VL-235B-A22B-Instruct
Context window131K tokens
Free budgetfree · 2000 req/day account-wide tokens/mo
Requests / day200 RPD

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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-VL-235B-A22B-Instruct 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-VL-235B-A22B-Instruct 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-VL-235B-A22B-Instruct",
    "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-VL-235B-A22B-Instruct",
    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.