| Input length | Input / 1M | Output / 1M | Cache hit / 1M |
|---|---|---|---|
| — - 272k | $0.723 | $4.34 | $0.072 |
| > 272k | $1.45 | $6.51 | $0.145 |
GPT-5.6 Sol 在 NextModel 中是什麼？
香港團隊可用的 NextModel 目錄中的 OpenAI 模型，常用於 圖像理解、multimodal chat 工作負載。當前展示價格為輸入 $0.723 / 1M tokens、輸出 $4.34 / 1M tokens 每 100 萬 token，上下文視窗為 1.1M token。
適用場景
- 圖像理解
- multimodal chat
OpenAI 相容呼叫範例
保持 OpenAI SDK 呼叫方式不變，把 base_url 改為 NextModel，並使用模型目錄 ID openai--gpt-5.6-sol。
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-sol",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代項
OpenAI目錄
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...
適用場景圖像理解, multimodal chat
路由已設定
串流輸出工具呼叫JSON 模式視覺
平台整理NextModel gateway catalog (Go origin)
OpenAI目錄
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...
適用場景圖像理解, multimodal chat
路由已設定
串流輸出工具呼叫JSON 模式視覺
平台整理NextModel gateway catalog (Go origin)
OpenAI目錄
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...
適用場景圖像理解, multimodal chat
路由已設定
串流輸出工具呼叫JSON 模式視覺
平台整理NextModel gateway catalog (Go origin)
常見問題