OpenCode Zen

ling-3.0-flash-free
Context window131K tokens
Free budgetpromo (trial) tokens/mo
Requests / min20 RPM
Requests / day200 RPD
Limited-time promo, roster rotates warning
OpenCode Zen free models are explicitly limited-time promotional access ("available for a limited time" per the docs), not a recurring quota. The roster rotates: qwen3.6-plus and minimax-m3 promos already ended. Expect any row here to die without notice; prompts/outputs may be used for model improvement.

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.

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Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free OpenCode Zen key, and ling-3.0-flash-free 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 ling-3.0-flash-free with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ling-3.0-flash-free",
    "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="ling-3.0-flash-free",
    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.