Gemini 2.5 Pro Preview 05-06

Google chatvisionvideoaudioreasoningtool_use Long

API ID: google/gemini-2.5-pro-preview-03-25

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Input Price
$1.25
/1M tokens
Output Price
$10.00
/1M tokens

About Gemini 2.5 Pro Preview 05-06

Gemini 2.5 Pro Preview 05-06 is a mid-range general-purpose model from Google with ultra-long context (1.0M), suitable for conversations, content creation, and general AI tasks.

đź’°
Price Ranking
#893 lowest price among 950 Chat models

Model Specifications

Context Length
1.0M
Max Output
66k
Release Date
2025-05-07
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)

đź’° Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$3.56
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$108.75
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$148.13
/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 2.5 Pro Preview 05-06 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
View All Google Models →

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đź’ˇ Cheaper Alternatives

Same Brand (Google)

Gemma 3n 4B
$0.02 $0.04 33k
Gemma 3 4B
$0.02 $0.07 131k
Gemma 2 9B
$0.03 $0.09 8k

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 2.5 Pro Preview 05-06 API

Google AI Python SDK 
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemini-2.5-pro-preview-03-25")

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

Resources

Continue Your Decision

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