Gemini 2.5 Flash Lite Preview 09-2025

Google chatvisionvideoaudioreasoningtool_use Long

API ID: google/gemini-2.5-flash-lite-preview-09-2025

Input Price
$0.10
/1M tokens
Output Price
$0.40
/1M tokens

About Gemini 2.5 Flash Lite Preview 09-2025

Gemini 2.5 Flash Lite Preview 09-2025 is a budget-friendly general-purpose model from Google with ultra-long context (1.0M), suitable for conversations, content creation, and general AI tasks.

๐Ÿ’ฐ
Price Ranking
#675 lowest price among 950 Chat models

Model Specifications

Context Length
1.0M
Max Output
66k
Release Date
2025-09-25
Capabilities
chat vision video audio reasoning tool_use
Input Modalities
textimagefileaudiovideo
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.16
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$5.10
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$7.05
/month
500 analyses/day, ~2k tokens each

Google Model Lineup

Compare all models from Google to find the best fit

Model Input Output Context Capabilities
Gemini 2.5 Flash Lite Preview 09-2025 Current Free Free 1.0M chat vision video audio reasoning tool_use
Gemma 3n 4B Free Free 33k chat tool_use
Gemini 2.5 Flash Image Preview (Nano Banana) Free Free 33k chat vision image_gen
Gemma 3n 2B (free) Free Free 8k chat tool_use
Gemma 1 2B Free Free 8k chat
Gemma 1 2B Free Free 8k chat

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Output: $0.40
Context: 131k
Mistral Mistral Tiny
Input: $0.25
Output: $0.25
Context: 32k
Other InternVL3 78B
Input: $0.10
Output: $0.39
Context: -

๐Ÿš€ Quick Start

Get started with Gemini 2.5 Flash Lite Preview 09-2025 API

Google AI Python SDK
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemini-2.5-flash-lite-preview-09-2025")

response = model.generate_content("Hello!")
print(response.text)