google/gemini-3.5-flash-lite
Release date: 2026-07-21
1,048,576 context · $0.30/M input tokens · $2.50/M output tokens
Gemini 3.5 Flash-Lite is Google's low-latency, cost-efficient multimodal model for high-volume automation, lightweight agentic workflows, translation, classification, extraction, and document understanding. It supports text, image, video, audio, and PDF inputs with a 1,048,576-token context window.
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our 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-3.5-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-3.5-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 Introduction
Google: Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is Google's low-latency, cost-efficient multimodal model for high-volume automation, lightweight agentic workflows, translation, classification, extraction, and document understanding. It supports text, image, video, audio, and PDF inputs with a 1,048,576-token context window.
Specifications
- Context window: 1,048,576 tokens
- Max input: 983,040 tokens
- Max output: 65,536 tokens
- Inputs: text, image, video, audio, and PDF
- Output: text
- Function calling and structured output: supported
API
Base URL: https://llm.wavespeed.ai/v1 Endpoint: chat/completions Model ID: google/gemini-3.5-flash-lite
Info
Supported Functionality
API Access Guide
Gemini 3.5 Flash Lite API
google/gemini-3.5-flash-lite
Gemini 3.5 Flash-Lite is Google's low-latency, cost-efficient multimodal model for high-volume automation, lightweight agentic workflows, translation, classification, extraction, and document understanding. It supports text, image, video, audio, and PDF inputs with a 1,048,576-token context window.
Input
$0.3 /M
Output
$2.5 /M
Context
1049K
Max Output
66K
Vision
Supported
Tool Use
Supported
Try Gemini 3.5 Flash Lite on WaveSpeedAI
Access Gemini 3.5 Flash Lite through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Gemini 3.5 Flash Lite
How much does Gemini 3.5 Flash Lite cost via the API?+
Pricing on WaveSpeedAI: $0.30 per million input tokens and $2.50 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Gemini 3.5 Flash Lite?+
Gemini 3.5 Flash Lite supports up to 1049K tokens of context with up to 66K tokens of output per request.
Is Gemini 3.5 Flash Lite OpenAI-compatible?+
WaveSpeedAI exposes Gemini 3.5 Flash Lite at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.
How do I get started with Gemini 3.5 Flash Lite?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.