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Google Vertex AI

Gemini 3.1 Pro Preview Customtools

Gemini 3.1 Pro Preview Customtools is available via Google Vertex AI with a 1.0M context window and up to 65,536 output tokens. Pricing: $2.00/1M input tokens, $12.00/1M output tokens.

Gemini 3.1 Pro Preview Customtools Pricing & Specifications

Input Price$2.00 per 1M tokens
Output Price$12.00 per 1M tokens
Context Window1,048,576 tokens (1.0M)
Max Output65,536 tokens
ProviderGoogle Vertex AI

What is Gemini 3.1 Pro Preview Customtools?

Gemini 3.1 Pro Preview Customtools is a large language model by Google Vertex AI with a 1.0M context window and up to 65,536 output tokens. It costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. Gemini 3.1 Pro Preview Customtools is available via Google Vertex AI with a 1.0M context window and up to 65,536 output tokens. Pricing: $2.00/1M input tokens, $12.00/1M output tokens.

Capabilities

text vision function calling reasoning audio pdf web search json mode

Gemini 3.1 Pro Preview Customtools Cost Examples

Short prompt (500 tokens)

$0.001000

Medium prompt (2K tokens)

$0.00400

Long output (4K tokens)

$0.04800

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Frequently Asked Questions

How much does Gemini 3.1 Pro Preview Customtools cost per token? +
Gemini 3.1 Pro Preview Customtools costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.008000.
What is the context window for Gemini 3.1 Pro Preview Customtools? +
Gemini 3.1 Pro Preview Customtools supports a context window of 1,048,576 tokens (1.0M). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Gemini 3.1 Pro Preview Customtools? +
Gemini 3.1 Pro Preview Customtools can generate up to 65,536 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Gemini 3.1 Pro Preview Customtools good for coding tasks? +
Yes, Gemini 3.1 Pro Preview Customtools supports capabilities well-suited for coding tasks including code generation, debugging, and refactoring.
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