google/gemini-2.0-flash-lite-001
1,048,576 context · $0.07/M input tokens · $0.30/M output tokens
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintaining quality on par with larger models like Gemini Pro 1.5,...
Pricing
Pay-per-use
No upfront costs, pay only for what you use
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-2.0-flash-lite-001",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Introduction
Google gemini-2.0-flash-lite-001
google gemini-2.0-flash-lite-001
Why It Looks Great
- Large Language Model architecture for efficient processing
- 1048576 context window for long document handling
- Competitive pricing at $0.1/$0.3 per million tokens
Key Features
- Context Window: 1048576 tokens
- Max Output: 8192 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 | 8192 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.3 |
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-2.0-flash-lite-001
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-2.0-flash-lite-001",
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-2.0-flash-lite-001",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: google/gemini-2.0-flash-lite-001
- Provider: Google
Info
Supported Functionality
API Access Guide
Gemini 2.0 Flash Lite 001 API
google/gemini-2.0-flash-lite-001
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintaining quality on par with larger models like Gemini Pro 1.5,...
Input
$0.075 /M
Output
$0.3 /M
Context
1049K
Max Output
8K
Vision
Supported
Tool Use
Supported
Try Gemini 2.0 Flash Lite 001 on WaveSpeedAI
Access Gemini 2.0 Flash Lite 001 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Open PlaygroundFrequently Asked Questions about Gemini 2.0 Flash Lite 001
How much does Gemini 2.0 Flash Lite 001 cost via the API?+
Pricing on WaveSpeedAI: $0.07 per million input tokens and $0.30 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 2.0 Flash Lite 001?+
Gemini 2.0 Flash Lite 001 supports up to 1049K tokens of context with up to 8K tokens of output per request.
Is Gemini 2.0 Flash Lite 001 OpenAI-compatible?+
Yes. WaveSpeedAI exposes Gemini 2.0 Flash Lite 001 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 2.0 Flash Lite 001?+
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 2.0 Flash Lite 001 before paying per token.