microsoft/phi-4
16,384 context · $0.07/M input tokens · $0.14/M output tokens
Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
按用量付費
無需預付費用,僅按實際使用量付費
使用以下程式碼範例整合我們的 API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="microsoft/phi-4",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)microsoft phi-4
| Specification | Value |
|---|---|
| Provider | Microsoft |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 16384 tokens |
| Max Output | 4096 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.1 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: microsoft/phi-4
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="microsoft/phi-4",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "microsoft/phi-4",
"messages": [{"role": "user", "content": "Hello!"}]
}'
microsoft/phi-4
Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
輸入
$0.065 /M
輸出
$0.14 /M
上下文
16K
最大輸出
16K
WaveSpeedAI 定價:輸入每百萬 token $0.07,輸出每百萬 token $0.14。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。
Phi 4 每次請求最多支援 16K 上下文 token,輸出最多 16K token。
是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Phi 4。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。
登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 Phi 4。