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Qwen3.8 Flash Next: free via FreeLLMAPI

Qwen3.8 Flash Next: served free by 1 provider, up to 262K context, tool calling. Provider limits, quotas and setup examples on FreeLLMAPI.

AMD Radeon Cloud

Qwen3.8-Flash-Next
Context window262K tokens
Free budgetfree · recurring daily account allowance tokens/mo
Rate limitsnot published
Free shared roster rotates info
AMD Radeon Cloud's shared Model API is free and does not consume GPU-instance credits. Its public models are experimental and may rotate; per-account request and daily allowance values are reported dynamically in response headers rather than guaranteed as fixed catalog limits.
Strict Qwen request shape info
Qwen3.8 Flash Next accepts at most one leading system message, low or medium reasoning effort, single tool calls, and JSON-object output. The adapter coalesces system instructions, disables parallel tool calls, and downgrades JSON Schema requests to JSON-object mode.

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Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free AMD Radeon Cloud key, and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen3.8-Flash-Next",
    "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="Qwen3.8-Flash-Next",
    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.