google/gemini-3.1-flash-lite
發布時間: 2026-05-07
1,048,576 context · $0.25/M input tokens · $1.50/M output tokens
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, with a 1M-token context window and up to 64K output tokens. The model is designed for lightweight agentic workflows, simple data extraction, classification, summarization, document understanding, and responsive applications where API cost and speed are primary constraints. It supports thinking levels from minimal to high for fine-grained cost/performance control and is priced at half the cost of Gemini 3 Flash.
定價
按用量付費
無需預付費用，僅按實際使用量付費
試用模型
API 使用
使用以下程式碼範例整合我們的 API：
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'google/gemini-3.1-flash-lite',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'google/gemini-3.1-flash-lite',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}模型介紹
Google: Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic workflows, simple data extraction, classification, summarization, and applications where responsiveness and API cost are the primary constraints.
Why It Looks Great
- High-efficiency multimodal model for text, image, video, audio, and PDF understanding
- Optimized for low-latency, high-volume production workloads
- Supports a 1M-token context window for long prompts, document analysis, and multi-turn workflows
- Up to 64K output tokens for extended responses and structured generation
- Thinking levels from minimal to high for cost, latency, and quality trade-offs
- Priced at half the cost of Gemini 3 Flash
- Strong fit for lightweight agents, simple extraction tasks, summarization, classification, and responsive app experiences
Key Features
- Context Window: 1,048,576 tokens
- Max Input: 983,040 tokens
- Max Output: 65,536 tokens
- Input: Text, Image, Video, Audio, PDF
- Output: Text
- Vision: Supported
- Audio Input: Supported
- Function Calling: Supported
- Structured Outputs: Supported
- Thinking Levels: minimal, low, medium, high
Specifications
| Specification | Value |
|---|---|
| Provider | |
| Model Type | Chat Completions model |
| Architecture | text+image+file+audio+video->text |
| Context Window | 1,048,576 tokens |
| Max Input | 983,040 tokens |
| Max Output | 65,536 tokens |
| Input | Text, Image, Video, Audio, PDF |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Structured Outputs | Supported |
| Audio Input | Supported |
| Thinking Levels | minimal, low, medium, high |
Pricing
| Token Type | Cost |
|---|---|
| Input | $0.25 per million tokens |
| Output | $1.50 per million tokens |
| Cached Input | $0.025 per million tokens |
| Cache Write | $0.083333 per million tokens |
| Reasoning Output | $1.50 per million tokens |
How to Use
API Integration
Base URL: https://llm.wavespeed.ai/v1
API Endpoint: chat/completions
Model ID: google/gemini-3.1-flash-lite
資訊
支援功能
API 存取指南
Gemini 3.1 Flash Lite API
google/gemini-3.1-flash-lite
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, with a 1M-token context window and up to 64K output tokens. The model is designed for lightweight agentic workflows, simple data extraction, classification, summarization, document understanding, and responsive applications where API cost and speed are primary constraints. It supports thinking levels from minimal to high for fine-grained cost/performance control and is priced at half the cost of Gemini 3 Flash.
輸入
$0.25 /M
輸出
$1.5 /M
上下文
1049K
最大輸出
66K
Vision
支援
工具調用
支援
在 WaveSpeedAI 試用 Gemini 3.1 Flash Lite
透過我們的統一 API 接入 Gemini 3.1 Flash Lite — 相容 OpenAI、無冷啟動、透明計費。
關於 Gemini 3.1 Flash Lite 的常見問題
Gemini 3.1 Flash Lite API 多少錢?+
WaveSpeedAI 定價:輸入每百萬 token $0.25,輸出每百萬 token $1.50。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。
Gemini 3.1 Flash Lite 的上下文視窗有多大?+
Gemini 3.1 Flash Lite 每次請求最多支援 1049K 上下文 token,輸出最多 66K token。
Gemini 3.1 Flash Lite 是否相容 OpenAI?+
WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容 Chat Completions 介面提供 Gemini 3.1 Flash Lite。大多數 OpenAI SDK 用戶端只需更換 base URL 和 API Key；選用欄位取決於具體模型。
如何開始使用 Gemini 3.1 Flash Lite?+
登入 WaveSpeedAI，在 Access Keys 中建立 API Key，然後使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。模型可用性、能力和價格請以目前模型目錄為準。