google/gemini-3.1-flash-lite
Yayın tarihi: 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.
Fiyatlandırma
Kullandıkça öde
Ön ödeme yok, yalnızca kullandığınız kadar ödeyin
Modeli dene
API Kullanımı
API'mizle entegre etmek için aşağıdaki kod örneklerini kullanın:
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;
}Model Tanıtımı
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
Bilgi
Desteklenen İşlevsellik
API Erişim Kılavuzu
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.
Giriş
$0.25 /M
Çıkış
$1.5 /M
Bağlam
1049K
Maks. Çıkış
66K
Vision
Destekleniyor
Araç Kullanımı
Destekleniyor
Gemini 3.1 Flash Lite'i WaveSpeedAI'da deneyin
Birleşik API'miz aracılığıyla Gemini 3.1 Flash Lite'e erişin — OpenAI uyumlu, soğuk başlatma yok, şeffaf fiyatlandırma.
Gemini 3.1 Flash Lite hakkında sık sorulan sorular
Gemini 3.1 Flash Lite API ücreti ne kadar?+
WaveSpeedAI fiyatlandırması: milyon giriş tokenı başına $0.25 ve milyon çıkış tokenı başına $1.50. Prompt caching ve toplu işleme ayrı faturalanır ve uzun, tekrar eden yüklerde etkin maliyeti düşürür.
Gemini 3.1 Flash Lite'in bağlam penceresi nedir?+
Gemini 3.1 Flash Lite istek başına 1049K bağlam tokenını ve 66K çıkış tokenını destekler.
Gemini 3.1 Flash Lite OpenAI uyumlu mu?+
WaveSpeedAI, Gemini 3.1 Flash Lite modelini https://llm.wavespeed.ai/v1 adresindeki OpenAI uyumlu Chat Completions arayüzü üzerinden sunar. Çoğu OpenAI SDK istemcisinde base URL ve API anahtarını değiştirmek yeterlidir; isteğe bağlı alanlar modele bağlıdır.
Gemini 3.1 Flash Lite'e nasıl başlarım?+
WaveSpeedAI’a giriş yapın, Access Keys bölümünde bir API anahtarı oluşturun ve yukarıdaki model id ile https://llm.wavespeed.ai/v1/chat/completions adresine istek gönderin. Güncel kullanılabilirlik, özellikler ve fiyatlar için model kataloğunu kontrol edin.