Home / Big Tech / AMD Radeon Cloud ⚡ Speed & Latency
130ms ~ 220ms
AMD GPU cluster acceleration · Ultra-fast direct response
🎁 Free Quota & Policy
$10 USD shared free compute daily (~10M–100M tokens)
Resets every day at 00:00 · Simple email signup, no credit card required
🛡️ Auth & Access Requirements
Standard OpenAI-compatible API · 1-click key from Public Model cards
No approval needed, instant access inside AMD Token Factory
📊 Concurrency & Context
$10 daily shared pool · 1M context window
Supports DeepSeek-V4-Flash and Qwen3.8-Flash-Next at full 1M context
🔌 OpenAI-Compatible Base URL https://developer.amd.com.cn/radeon/api/v1 📋 Copy Base URL
💡 Directly paste the address above as Base URL into any OpenAI-compatible client (NextChat, Cherry Studio, Immersive Translate, etc.).
$10 Free/Day DeepSeek-V4-Flash-0731
Official DeepSeek 1M context high-speed model, best for dev 📋 Copy Model ID
$10 Free/Day Qwen3.8-Flash-Next
Alibaba Qwen Flash-Next architecture, balanced coding & dialogue 📋 Copy Model ID
Multimodal Vision DeepSeek-V4-Flash-Vision-Exp
Supports multimodal image input & ultra-long vision doc analysis 📋 Copy Model ID
Lightweight Edge Vision MiniCPM-V46
Efficient edge vision model with ultra-low latency 📋 Copy Model ID
💡 Key Traps & Practical Tips Free $10 daily compute credit (resets daily)
1. Protocol Compatibility: Most modern LLMs are fully OpenAI-compatible. In Python, simply use the official openai SDK for seamless switching.
2. Network Routing: Providers labeled Direct Connection respond in milliseconds domestically. Providers labeled Global Network are best called from servers with international access.
3. Local Key Security: When using tools on FreeAI Dog, all API Keys are strictly saved in your browser localStorage and never transmitted to any third-party server.
💻 Quick Python OpenAI SDK Example from openai import OpenAI
client = OpenAI(
api_key="your_api_key_here", # 填入申请的 Key
base_url="https://developer.amd.com.cn/radeon/api/v1"
)
response = client.chat.completions.create(
model="DeepSeek-V4-Flash-0731",
messages=[
[object Object]
]
)
print(response.choices[0].message.content)