| Input length | Input / 1M | Output / 1M | Cache hit / 1M |
|---|---|---|---|
| — - 272k | $0.029 | $0.174 | $0.0029 |
| > 272k | $0.058 | $0.26 | $0.0058 |
OpenAI: GPT-5.6 Luna 在 NextModel 中是什么？
OpenAI: GPT-5.6 Luna 是 NextModel 目录中的 OpenAI 模型，常用于 图像理解、multimodal chat 工作负载。当前展示价格为输入 $0.029 / 1M tokens、输出 $0.174 / 1M tokens 每 100 万 token，上下文窗口为 1.1M token。
适用场景
- 图像理解
- multimodal chat
OpenAI 兼容调用示例
保持 OpenAI SDK 调用方式不变，把 base_url 改为 NextModel，并使用模型目录 ID openai--gpt-5.6-luna。
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="openai/gpt-5.6-luna",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代项
OpenAI目录
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
适用场景图像理解, multimodal chat
路由已配置
流式输出工具调用JSON 模式视觉
平台整理NextModel gateway catalog (Go origin)
OpenAI目录
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
适用场景图像理解, multimodal chat
路由已配置
流式输出工具调用JSON 模式视觉
平台整理NextModel gateway catalog (Go origin)
OpenAI目录
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
适用场景图像理解, multimodal chat
路由已配置
流式输出工具调用JSON 模式视觉
平台整理NextModel gateway catalog (Go origin)
常见问题