google/gemini-3.1-flash-lite
Tanggal rilis: 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.
Harga
Bayar sesuai pemakaian
Tanpa biaya di muka, bayar hanya sesuai penggunaan
Coba model
Penggunaan API
Gunakan contoh kode berikut untuk integrasi dengan API kami:
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;
}Pengenalan Model
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
Info
Fitur yang Didukung
Panduan Akses API
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.
Input
$0.25 /M
Output
$1.5 /M
Konteks
1049K
Output Maks.
66K
Vision
Didukung
Penggunaan Tool
Didukung
Coba Gemini 3.1 Flash Lite di WaveSpeedAI
Akses Gemini 3.1 Flash Lite melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.
Pertanyaan Umum tentang Gemini 3.1 Flash Lite
Berapa biaya Gemini 3.1 Flash Lite melalui API?+
Harga di WaveSpeedAI: $0.25 per juta token input dan $1.50 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.
Berapa context window Gemini 3.1 Flash Lite?+
Gemini 3.1 Flash Lite mendukung hingga 1049K token konteks dengan hingga 66K token output per permintaan.
Apakah Gemini 3.1 Flash Lite kompatibel dengan OpenAI?+
WaveSpeedAI menyediakan Gemini 3.1 Flash Lite di https://llm.wavespeed.ai/v1 melalui antarmuka Chat Completions yang kompatibel dengan OpenAI. Sebagian besar klien OpenAI SDK cukup mengganti base URL dan API key; field opsional bergantung pada model.
Bagaimana memulai dengan Gemini 3.1 Flash Lite?+
Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id yang ditampilkan di atas. Lihat katalog model terbaru untuk ketersediaan, kemampuan, dan harga.