Gemma 4 31B

Google chatreasoningtool_usevideovision Long

API ID: google/gemma-4-31b-it-20260402

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Input Price
$0.99
/1M tokens
Output Price
$1.49
/1M tokens
Cached Input
$0.99
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About Gemma 4 31B

Gemma 4 31B is a mid-range general-purpose model from Google with ultra-long context (262k), suitable for conversations, content creation, and general AI tasks.

💰
Price Ranking
#974 lowest price among 1240 Chat models

Model Specifications

Context Length
262k
Max Output
41k
Release Date
2026-04-02
Capabilities
chat reasoning tool_use video vision
Input Modalities
imagetextvideo
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
$0.89
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$28.26
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$40.16
/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
Gemma 4 31B Current Free Free 262k 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

Same Brand (Google)

Gemma 3 4B
$0.02 $0.07 131k
Gemma 2 9B
$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 Gemma 4 31B API

Google AI Python SDK 
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemma-4-31b-it-20260402")

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

Resources

Continue Your Decision

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