Context Window
8,192
Tokens
Model Cost Profile
Google: Gemma 3n 4B (free)
Developer: google
Pricing updated Mar 11, 2026
Input rank: #7Output rank: #7
Google's Gemma 3n 4B model offers a substantial context window of 8192 tokens, making it suitable for applications requiring detailed text analysis or extended conversational capabilities. With a pricing structure of $0.00 for both input and output per million tokens, this model is an attractive option for teams looking to integrate advanced natural language processing without incurring costs. Ideal for startups and small businesses, Gemma 3n 4B can facilitate tasks such as customer support automation, content generation, and data extraction while keeping operational expenses minimal.
📋 Structured Output
Input Price / 1M
$0.0000
Prompt tokens
Output Price / 1M
$0.0000
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0000 |
| Output (Completion) | $0.0000 |
Price History
Google: Gemma 3n 4B (free) Pricing Trend
Input / 1M tokensOutput / 1M tokens
Mar 7 — Mar 11
Current Input / 1M
$0.000000
Current Output / 1M
$0.000000
Cost Calculator
Estimate monthly spend for Google: Gemma 3n 4B (free) based on your workload.
01.0B
0500M
Estimated Monthly Cost
$0.00
25M input + 12M output tokens
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FAQ
Common pricing and benchmark questions for Google: Gemma 3n 4B (free).
How much does Google: Gemma 3n 4B (free) cost per 1M input tokens?
Google: Gemma 3n 4B (free) input pricing is $0.0000 per 1M tokens based on the latest synced provider data.
How much does Google: Gemma 3n 4B (free) cost per 1M output tokens?
Google: Gemma 3n 4B (free) output pricing is $0.0000 per 1M tokens based on the latest synced provider data.
What context window does Google: Gemma 3n 4B (free) support?
Google: Gemma 3n 4B (free) supports a context window of 8,192 tokens.
How can I compare Google: Gemma 3n 4B (free) with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.