Gemini 2.5 Flash Preview 09-2025

Google chatvisionvideoaudioreasoning Long

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

Input Price
$0.30
/1M tokens
Output Price
$2.50
/1M tokens

About Gemini 2.5 Flash Preview 09-2025

Gemini 2.5 Flash Preview September 2025 Checkpoint is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).

๐Ÿ’ฐ
Price Ranking
#993 lowest price among 1240 Chat models

Model Specifications

Context Length
1.0M
Max Output
โ€”
Release Date
2025-09-25
Capabilities
chat vision video audio reasoning
Input Modalities
imagefiletextaudiovideo
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
$0.89
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$27.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$36.75
/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 Preview 09-2025 Current Free Free 1.0M chat vision video audio reasoning
Gemma 3n 4B Free Free 33k chat
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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๐Ÿš€ Quick Start

Get started with Gemini 2.5 Flash 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-preview-09-2025")

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