google/gemini-2.5-flash-lite-preview-09-2025
Ngày phát hành: 2025-09-26
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:
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-preview-09-2025",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Introduction
Google gemini-2.5-flash-lite-preview-09-2025
google gemini-2.5-flash-lite-preview-09-2025
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: 65536 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 | 65536 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-preview-09-2025
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-preview-09-2025",
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-preview-09-2025",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: google/gemini-2.5-flash-lite-preview-09-2025
- Provider: Google
Info
Supported Functionality
API Access Guide
Gemini 2.5 Flash Lite Preview 09 2025 API
google/gemini-2.5-flash-lite-preview-09-2025
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 Preview 09 2025 on WaveSpeedAI
Access Gemini 2.5 Flash Lite Preview 09 2025 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Gemini 2.5 Flash Lite Preview 09 2025
How much does Gemini 2.5 Flash Lite Preview 09 2025 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 Preview 09 2025?+
Gemini 2.5 Flash Lite Preview 09 2025 supports up to 1049K tokens of context with up to 66K tokens of output per request.
Is Gemini 2.5 Flash Lite Preview 09 2025 OpenAI-compatible?+
Yes. WaveSpeedAI exposes Gemini 2.5 Flash Lite Preview 09 2025 through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
How do I get started with Gemini 2.5 Flash Lite Preview 09 2025?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Gemini 2.5 Flash Lite Preview 09 2025 before paying per token.