Gemini 2.5 Flash Lite Preview 09 2025 | Google LLM API

Name: Gemini 2.5 Flash Lite Preview 09 2025 API
Brand: google
Price: 0.1 USD
Availability: InStock

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

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)

Pengenalan Model

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	Google
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

Pertanyaan Umum tentang Gemini 2.5 Flash Lite Preview 09 2025

Berapa biaya Gemini 2.5 Flash Lite Preview 09 2025 melalui API?+

Harga di WaveSpeedAI: $0.10 per juta token input dan $0.40 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Gemini 2.5 Flash Lite Preview 09 2025?+

Gemini 2.5 Flash Lite Preview 09 2025 mendukung hingga 1049K token konteks dengan hingga 66K token output per permintaan.

Apakah Gemini 2.5 Flash Lite Preview 09 2025 kompatibel dengan OpenAI?+

Ya. WaveSpeedAI menyediakan Gemini 2.5 Flash Lite Preview 09 2025 melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.

Bagaimana memulai dengan Gemini 2.5 Flash Lite Preview 09 2025?+

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji Gemini 2.5 Flash Lite Preview 09 2025.

Harga

Coba model