Gemini 2.5 Pro
Google Gemini 多模态对话模型，适合长上下文、图像理解和工具调用。
All systems normal1 providers available
Context1M
Max output65.54K
$0.5625/ 1M tokensInput price · by access tier0.88折$0.11/ 1M tokens2折$0.25/ 1M tokens4.5折$0.56/ 1M tokens7折$0.88/ 1M tokens$4.5/ 1M tokensOutput price · by access tier0.88折$0.88/ 1M tokens2折$2/ 1M tokens4.5折$4.5/ 1M tokens7折$7/ 1M tokensCache read$0.0585/1M tokens
Cache write$1.5625/1M tokens
Capabilities
Input modality
InputText · Image
OutputText
Core capabilities
Deep thinking
Streaming
Structured outputTool capabilities
Function callingAccess protocols
—
Pricing details
| Tier | Price (input–output) | Cache read | Cache write |
|---|---|---|---|
| ≦200K | $0.5625-$4.5/1M tokens | $0.0585/1M tokens | $1.5625/1M tokens |
| >200K | $1.125-$6.75/1M tokens | $0.0585/1M tokens | $1.5625/1M tokens |
Service performance
Success rate100%Last 24 hours
First token latency3200msLast 24 hours
Quickstart
from openai import OpenAI
client = OpenAI(
base_url="https://api.apione.ai/v1",
api_key="<YOUR_API_KEY>", # 在控制台创建 API Key 后替换
)
response = client.chat.completions.create(
model="gemini-2.5-pro",
messages=[{"role": "user", "content": "用一句话介绍你自己"}],
)
print(response.choices[0].message.content)