Model Cost Profile

Google: Gemini 3.1 Pro Preview

Developer: google

Pricing updated Mar 11, 2026

Input rank: #274Output rank: #298

Live Pricing

Input: $2.00

Output: $12.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Google's Gemini 3.1 Pro Preview offers a substantial context window of 1,048,576 tokens, making it suitable for applications requiring extensive text analysis, such as legal document review and large-scale content generation. With an input price of $2.00 per 1 million tokens and an output price of $12.00 per 1 million tokens, teams must consider their token usage carefully to manage costs effectively in high-volume scenarios. This model is particularly beneficial for enterprises that require advanced natural language processing capabilities without compromising on context depth.

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Context Window

1,048,576

Tokens

Input Price / 1M

$2.00

Prompt tokens

Output Price / 1M

$12.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Google: Gemini 3.1 Pro Preview Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$2.00$7.00$12.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$2.00

Current Output / 1M

$12.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Google: Gemini 3.1 Pro Preview.

How much does Google: Gemini 3.1 Pro Preview cost per 1M input tokens?

Google: Gemini 3.1 Pro Preview input pricing is $2.00 per 1M tokens based on the latest synced provider data.

How much does Google: Gemini 3.1 Pro Preview cost per 1M output tokens?

Google: Gemini 3.1 Pro Preview output pricing is $12.00 per 1M tokens based on the latest synced provider data.

What context window does Google: Gemini 3.1 Pro Preview support?

Google: Gemini 3.1 Pro Preview supports a context window of 1,048,576 tokens.

How can I compare Google: Gemini 3.1 Pro Preview 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.