Nemotron 3 Super / Ultra

🛡️ Agents & Tool Use
🏢 NVIDIA ⚡ 120B ~ 550B MoE 📖 1M Context 🏷️ reasoning

NVIDIA's flagship open models tuned for autonomous agents, high-precision function calling, and safety.

🏢 Free Providers
2 (2 在线)
0 条国内高速 BGP 直连线路
⚡ Lowest Latency
228ms
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

Requesty

models.global_route 🟢 228ms
Model ID: nvidia/nemotron-3-super-120b-a12b
🎁 200 free requests daily (Resets daily) (1M context window · $0 permanent free tier)
#2

NVIDIA NIM

models.global_route 🟢 571ms
Model ID: nvidia/llama-3.1-nemotron-70b-instruct
🎁 1,000 Credits 试用点数 (NVIDIA 官方优化运行时容器)

💻 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="nvidia/nemotron-3-super-120b-a12b",
    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": "nvidia/nemotron-3-super-120b-a12b",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ],
    "temperature": 0.7
  }'