google/gemini-2.5-flash-lite
1,048,576 context · $0.10/M input tokens · $0.40/M output tokens
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
按量付费
无需预付费用,仅按实际使用量付费
使用以下代码示例接入我们的 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="google/gemini-2.5-flash-lite",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)google gemini-2.5-flash-lite
| Specification | Value |
|---|---|
| Provider | |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 1048576 tokens |
| Max Output | 65535 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.4 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: google/gemini-2.5-flash-lite
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="google/gemini-2.5-flash-lite",
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": "google/gemini-2.5-flash-lite",
"messages": [{"role": "user", "content": "Hello!"}]
}'
google/gemini-2.5-flash-lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
输入
$0.1 /M
输出
$0.4 /M
上下文
1049K
最大输出
66K
Vision
支持
工具调用
支持
通过我们的统一 API 接入 Gemini 2.5 Flash Lite — 兼容 OpenAI、无冷启动、透明计费。
WaveSpeedAI 定价:输入每百万 token $0.10,输出每百万 token $0.40。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。
Gemini 2.5 Flash Lite 单次请求最多支持 1049K 上下文 token,输出最多 66K token。
是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Gemini 2.5 Flash Lite。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。
登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Gemini 2.5 Flash Lite。