Gemini 3.5 Flash

Google audiochatreasoningtool_usevideovision Long

API ID: google/gemini-3.5-flash-20260519

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Input Price
$1.50
/1M tokens
Output Price
$9.00
/1M tokens
Cached Input
$0.15
Save 90%

About Gemini 3.5 Flash

Gemini 3.5 Flash is a mid-range general-purpose model from Google with ultra-long context (1.0M), suitable for conversations, content creation, and general AI tasks.

💰
Price Ranking
#38 lowest price among 47 Audio models

Model Specifications

Context Length
1.0M
Max Output
66k
Release Date
2026-05-19
Capabilities
audio chat reasoning tool_use video vision
Input Modalities
textimagevideofileaudio
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)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$3.38
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$103.50
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$141.75
/month
500 analyses/day, ~2k tokens each
Calculate Your Custom Usage

Google Model Lineup

Compare all models from Google to find the best fit

Model Input Output Context Capabilities
Gemini 3.5 Flash Current Free Free 1.0M audio chat reasoning tool_use video vision
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
View All Google Models →

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💡 Cheaper Alternatives

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$0.02 $0.07 131k
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$0.03 $0.09 8k
Gemma 3 12B
$0.03 $0.10 131k

Cross Brand

GTE-Base Other
$0.0050 Free 512
E5-Base-v2 Other
$0.0050 Free 512
paraphrase-MiniLM-L6-v2 Other
$0.0050 Free 512

🚀 Quick Start

Get started with Gemini 3.5 Flash API

Google AI Python SDK 
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemini-3.5-flash-20260519")

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

Resources

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