Gemini 3.1 Flash Lite
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
$0.1125/ 1M tokensInput price · by access tier0.88折$0.022/ 1M tokens2折$0.05/ 1M tokens4.5折$0.11/ 1M tokens7折$0.17/ 1M tokens$0.675/ 1M tokensOutput price · by access tier0.88折$0.13/ 1M tokens2折$0.3/ 1M tokens4.5折$0.68/ 1M tokens7折$1.05/ 1M tokensCache read$0.0135/1M tokens
Cache write$0.3125/1M tokens
Capabilities
Input modality
InputText · Image
OutputText
Core capabilities
Deep thinking
Streaming
Structured outputTool capabilities
Function callingAccess protocols
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Pricing details
| Tier | Price (input–output) | Cache read | Cache write |
|---|---|---|---|
| ≦200K | $0.1125-$0.675/1M tokens | $0.0135/1M tokens | $0.3125/1M tokens |
Service performance
Success rate100%Last 24 hours
First token latency1131msLast 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-3.1-flash-lite",
messages=[{"role": "user", "content": "用一句话介绍你自己"}],
)
print(response.choices[0].message.content)