Model Cost Profile

Google: Gemma 3n 2B (free)

Developer: google

Pricing updated Mar 11, 2026

Input rank: #6Output rank: #6

Live Pricing

Input: $0.0000

Output: $0.0000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Google's Gemma 3n 2B model offers a generous context window of 8192 tokens, making it suitable for applications requiring extensive text analysis or generation, such as chatbots and content creation tools. With a pricing structure of $0.00 per million tokens for both input and output, this free model provides an economical option for teams looking to integrate advanced AI capabilities without incurring costs. Its accessibility allows developers and businesses to experiment with large datasets and complex queries, facilitating innovation in various AI-driven projects.

๐Ÿ“‹ Structured Output

Context Window

8,192

Tokens

Input Price / 1M

$0.0000

Prompt tokens

Output Price / 1M

$0.0000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Google: Gemma 3n 2B (free) Pricing Trend

Input / 1M tokensOutput / 1M tokens
Mar 7 โ€” Mar 11
$0.000000$0.000000$0.000000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.000000

Current Output / 1M

$0.000000

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FAQ

Common pricing and benchmark questions for Google: Gemma 3n 2B (free).

How much does Google: Gemma 3n 2B (free) cost per 1M input tokens?

Google: Gemma 3n 2B (free) input pricing is $0.0000 per 1M tokens based on the latest synced provider data.

How much does Google: Gemma 3n 2B (free) cost per 1M output tokens?

Google: Gemma 3n 2B (free) output pricing is $0.0000 per 1M tokens based on the latest synced provider data.

What context window does Google: Gemma 3n 2B (free) support?

Google: Gemma 3n 2B (free) supports a context window of 8,192 tokens.

How can I compare Google: Gemma 3n 2B (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.