Context Window
131,072
Tokens
Model Cost Profile
Google: Gemma 3 12B
Developer: google
Pricing updated Mar 11, 2026
Input rank: #45Output rank: #48
Google's Gemma 3 12B model offers a substantial context window of 131,072 tokens, making it ideal for applications requiring extensive text comprehension, such as legal document analysis and long-form content generation. With an input price of $0.04 per million tokens and an output price of $0.13 per million tokens, teams can effectively manage costs while leveraging the model for high-volume tasks. This pricing structure allows organizations to scale their usage based on specific project needs, ensuring budget-friendly access to advanced AI capabilities.
👁 Vision📋 Structured Output
Input Price / 1M
$0.0400
Prompt tokens
Output Price / 1M
$0.1300
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0400 |
| Output (Completion) | $0.1300 |
Price History
Google: Gemma 3 12B Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.0400
Current Output / 1M
$0.1300
Cost Calculator
Estimate monthly spend for Google: Gemma 3 12B based on your workload.
01.0B
0500M
Estimated Monthly Cost
$2.56
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for Google: Gemma 3 12B.
How much does Google: Gemma 3 12B cost per 1M input tokens?
Google: Gemma 3 12B input pricing is $0.0400 per 1M tokens based on the latest synced provider data.
How much does Google: Gemma 3 12B cost per 1M output tokens?
Google: Gemma 3 12B output pricing is $0.1300 per 1M tokens based on the latest synced provider data.
What context window does Google: Gemma 3 12B support?
Google: Gemma 3 12B supports a context window of 131,072 tokens.
How can I compare Google: Gemma 3 12B 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.