google/gemini-3.1-flash-lite
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.
Preços
Pagamento por uso
Sem custo inicial, pague apenas pelo que usar
Experimentar o modelo
Uso da API
Use os exemplos de código abaixo para integrar com nossa 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-3.1-flash-lite",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Introdução do modelo
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
Funcionalidades suportadas
Guia de acesso à 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.
Entrada
$0.25 /M
Saída
$1.5 /M
Contexto
1049K
Saída máx.
66K
Vision
Suportado
Uso de ferramentas
Suportado
Experimente Gemini 3.1 Flash Lite no WaveSpeedAI
Acesse Gemini 3.1 Flash Lite através da nossa API unificada — compatível com OpenAI, sem inicializações a frio, preços transparentes.
Perguntas frequentes sobre Gemini 3.1 Flash Lite
Quanto custa Gemini 3.1 Flash Lite via API?+
Preços no WaveSpeedAI: $0.25 por milhão de tokens de entrada e $1.50 por milhão de tokens de saída. Prompt caching e batch processing são cobrados separadamente e reduzem o custo efetivo em cargas longas e repetitivas.
Qual é a janela de contexto do Gemini 3.1 Flash Lite?+
Gemini 3.1 Flash Lite suporta até 1049K tokens de contexto e até 66K tokens de saída por requisição.
Gemini 3.1 Flash Lite é compatível com OpenAI?+
Sim. O WaveSpeedAI expõe o Gemini 3.1 Flash Lite através de um endpoint compatível com OpenAI em https://llm.wavespeed.ai/v1. Aponte o SDK oficial da OpenAI para esta base URL com sua chave API do WaveSpeedAI — sem outras alterações no código.
Como começo a usar o Gemini 3.1 Flash Lite?+
Entre no WaveSpeedAI, crie uma chave API em Access Keys, então envie uma requisição para https://llm.wavespeed.ai/v1/chat/completions com o model id mostrado acima. Contas novas recebem créditos grátis para avaliar o Gemini 3.1 Flash Lite.