Gemini 2.5 Flash Lite
Google 面向低延迟与高吞吐、成本敏感场景的 Gemini 模型。
上下文窗口
1,048,576
Gemini 2.5 Flash Lite
最大输出
65,535
1M tokens
输入
$0.10
输出
$0.40
gemini-2.5-flash-lite试玩区
gemini-2.5-flash-lite暂无输出
定价
| 方案 | 上下文窗口 | 最大输出 | 输入 | 输出 | 缓存写入 | 缓存读取 |
|---|---|---|---|---|---|---|
Gemini 2.5 Flash Lite | 1,048,576 | 65,535 | $0.10 | $0.40 | - | $0.01 |
这里展示的是 Vertex AI 按量计费下文本、图片、视频输入的官方价格。
音频输入单价为每 100 万 tokens $0.30,缓存音频输入为 $0.03。
缓存读取或缓存输入价格适用于复用的提示词 tokens。
README
- Google 将 Gemini 2.5 Flash Lite 描述为为低延迟场景优化的平衡型模型。
- 它保留了 Gemini 2.5 的关键能力,包括多模态输入、Google Search grounding、代码执行和 100 万 tokens 上下文。
- 它非常适合高并发助手、模型路由层、后台自动化等更看重吞吐和成本而非极限推理深度的场景。
API
API
端点
POST /v1beta/models/{model}:generateContent认证
x-goog-api-key: YOUR_REACH_API_KEY Content-Type: application/json
示例
curl -X POST "https://direct.reachapi.ai/v1beta/models/YOUR_MODEL_ID:generateContent" \
-H "x-goog-api-key: YOUR_REACH_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "Introduce ReachAPI in one sentence."
}
]
}
],
"generationConfig": {
"temperature": 0.2
}
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