Gemma 3 27B

Google chatvisiontool_use

API ID: google/gemma-3-27b-it

Input Price
$0.03
/1M tokens
Output Price
$0.11
/1M tokens

About Gemma 3 27B

Gemma 3 is Google's latest open-weight model family, delivering significant improvements over Gemma 2 in capability and efficiency. The models feature enhanced reasoning, coding, and multilingual performance while maintaining practical deployment requirements. Gemma 3 excels at general language tasks and demonstrates strong performance on benchmarks for its size class. The open weights enable self-hosting, fine-tuning, and customization without API dependencies. For developers seeking capable open-source AI with Google's latest improvements, Gemma 3 offers excellent value. It's particularly popular for local deployment and applications requiring deployment flexibility.

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

Model Specifications

Context Length
128k
Max Output
66k
Release Date
2025-03-12
Capabilities
chat vision tool_use
Input Modalities
textimage
Output Modalities
text

Best For

  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.05
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$1.44
/month
1000 tickets/day, ~800 tokens each

Google Model Lineup

Compare all models from Google to find the best fit

Model Input Output Context Capabilities
Gemma 3 27B Current Free Free 128k chat vision 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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๐Ÿš€ Quick Start

Get started with Gemma 3 27B API

Google AI Python SDK
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemma-3-27b-it")

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