Model Cost Profile

Google: Gemini 3.1 Pro Preview Custom Tools

Developer: google

Pricing updated Mar 11, 2026

Input rank: #275Output rank: #299

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 Custom Tools offers a substantial context window of 1,048,576 tokens, making it ideal for complex tasks such as document summarization and large-scale data analysis. With an input price of $2.00 per million tokens and an output price of $12.00 per million tokens, teams can effectively budget for extensive usage scenarios while optimizing their costs based on the nature of their projects. This model is particularly suited for enterprises requiring high-volume processing capabilities, enabling them to leverage advanced AI tools for enhanced productivity and decision-making.

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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 Custom Tools 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

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FAQ

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

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

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

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

Google: Gemini 3.1 Pro Preview Custom Tools 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 Custom Tools support?

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

How can I compare Google: Gemini 3.1 Pro Preview Custom Tools 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.