google/gemini-2.5-flash-lite
Release date: 2025-07-23
1,048,576 context · $0.10/M input tokens · $0.40/M output tokens
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
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-2.5-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-2.5-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-2.5-flash-lite
google gemini-2.5-flash-lite
Why It Looks Great
- Large Language Model architecture for efficient processing
- 1048576 context window for long document handling
- Competitive pricing at $0.1/$0.4 per million tokens
Key Features
- Context Window: 1048576 tokens
- Max Output: 65535 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 1048576 tokens |
| Max Output | 65535 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.4 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: google/gemini-2.5-flash-lite
API Usage
Python SDK
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-2.5-flash-lite",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "google/gemini-2.5-flash-lite",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: google/gemini-2.5-flash-lite
- Provider: Google
Info
Supported Functionality
API Access Guide
Gemini 2.5 Flash Lite API
google/gemini-2.5-flash-lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
Input
$0.1 /M
Output
$0.4 /M
Context
1049K
Max Output
66K
Vision
Supported
Tool Use
Supported
Try Gemini 2.5 Flash Lite on WaveSpeedAI
Access Gemini 2.5 Flash Lite through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Gemini 2.5 Flash Lite
How much does Gemini 2.5 Flash Lite cost via the API?+
Pricing on WaveSpeedAI: $0.10 per million input tokens and $0.40 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 2.5 Flash Lite?+
Gemini 2.5 Flash Lite supports up to 1049K tokens of context with up to 66K tokens of output per request.
Is Gemini 2.5 Flash Lite OpenAI-compatible?+
WaveSpeedAI exposes Gemini 2.5 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 2.5 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.