Microsoft: Phi 4 在 NextModel 中是什么？
Microsoft: Phi 4 是 NextModel 目录中的 OpenRouter 模型，常用于 General chat via OpenRouter、API workloads 工作负载。当前展示价格为输入 $0.013 / 1M tokens、输出 $0.027 / 1M tokens 每 100 万 token，上下文窗口为 16.4k token。
适用场景
- General chat via OpenRouter
- API workloads
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 microsoft--phi-4。
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="microsoft/phi-4",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代项
OpenRouter目录
Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...
适用场景General chat via OpenRouter, API workloads
路由降级
流式输出JSON 模式
平台整理NextModel gateway catalog (Go origin)
OpenRouter目录
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
适用场景General chat via OpenRouter, API workloads
路由已配置
流式输出JSON 模式
平台整理NextModel gateway catalog (Go origin)
OpenRouter目录
One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
适用场景General chat via OpenRouter, API workloads
路由已配置
流式输出JSON 模式
平台整理NextModel gateway catalog (Go origin)
常见问题