Qwen 3.8 / Flash-Next

⚡ Hyper-Speed LPU
🏢 Alibaba ⚡ 27B / Flash 📖 131K Context 🏷️ lightweight

Alibaba Qwen's latest fast architecture running at hyper-speed on Groq LPU and AMD compute fabrics.

🏢 Free Providers
5 (5 在线)
2 条国内高速 BGP 直连线路
⚡ Lowest Latency
135ms
基于 FreeAI 全网边缘探活实测
🛡️ Overall SLA
99.9%
智能故障检测 · 多端点热备
🎁 Official Price
$0 Permanent Free
无隐藏门槛 · 开发者长期公测

📡 All Free Providers Live Radar

Ranked by live health & lowest latency. Copy provider model ID or claim free keys directly.

🟢 动态探活排序
#1

AMD Radeon Cloud

Direct CN 🟢 135ms
Model ID: Qwen3.8-Flash-Next
🎁 $10 free compute daily (Resets daily) (AMD GPU cluster · Ultra-fast direct line)
#2

Groq

models.global_route 🟢 146ms
Model ID: qwen/qwen3.8-27b
🎁 14,400 calls daily ultra-fast (30 RPM) (Groq LPU wafer chip · 300+ tok/s · No card)
#3

ModelScope (Alibaba)

Direct CN 🟢 161ms
Model ID: Qwen/Qwen3.8-Flash-Next
🎁 Official Free Tier · Daily Auto Refresh (32k Context · 每日自动重置)
#4

Vercel AI Gateway

models.global_route 🟢 205ms
Model ID: qwen-3.8-flash-next
🎁 $5/mo free team credit (Monthly reset) (GitHub OAuth access · No card required)
#5

DeepInfra

models.global_route 🟢 286ms
Model ID: Qwen/Qwen3.8-Flash
🎁 Official Free Tier · Daily Auto Refresh (32k Context · 每日自动重置)

💻 Quick Start Code Example

Fully compatible with OpenAI SDK. Replace the API Key and execute directly in Python or cURL.

from openai import OpenAI

# 1. 替换为对应厂商领取的 API Key 与 Base URL (参见下方厂商雷达表)
client = OpenAI(
    api_key="your_api_key_here",
    base_url="https://api.siliconflow.cn/v1"  # 示例: 硅基流动直连端点
)

response = client.chat.completions.create(
    model="Qwen3.8-Flash-Next",
    messages=[
        {"role": "system", "content": "You are a helpful AI assistant."},
        {"role": "user", "content": "Hello! Please introduce yourself briefly."}
    ],
    temperature=0.6,
    stream=True
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
curl https://api.siliconflow.cn/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your_api_key_here" \
  -d '{
    "model": "Qwen3.8-Flash-Next",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ],
    "temperature": 0.7
  }'