Gemini 2.0 Pro overview

Provider

The company that provides the model

Google

Context window

The number of tokens you can send in a prompt

2,000,000 tokens

Maximum output

The maximum number of tokens a model can generate in one request

8,192 tokens

Input token cost

The cost of prompt tokens sent to the model

$0.0 / 1M input tokens (free while in experimental stage)

Output token cost

The cost of output tokens generated by the model

$0.0 / 1M input tokens (free while in experimental stage)

Knowledge cut-off date

When the model's knowledge ends

Unknown

Release date

When the model was launched

February 5, 2025

Gemini 2.0 Pro functionality

Function (tool calling) support

Capability for the model to use external tools

Yes

Vision support

Ability to process and analyze visual inputs, like images

Yes

Multilingual

Support for multiple languages

Yes

Fine-tuning

Whether the model supports fine-tuning on custom datasets

Yes

Common questions about Gemini 2.0 Pro

How much does Gemini 2.0 Pro cost?

Gemini 2.0 Pro is free while in the experimental stage, with no cost for input or output tokens.

What is the input token cost for Gemini 2.0 Pro?

The input token cost for Gemini 2.0 Pro is $0.00 per million input tokens while it is in the experimental stage.

What is the output token cost for Gemini 2.0 Pro?

The output token cost for Gemini 2.0 Pro is $0.00 per million output tokens while it is in the experimental stage.

What is the context window for Gemini 2.0 Pro?

Gemini 2.0 Pro supports a context window of up to 2,000,000 tokens.

What is the maximum output length for Gemini 2.0 Pro?

Gemini 2.0 Pro can generate up to 8,192 tokens in a single output.

When was Gemini 2.0 Pro released?

Gemini 2.0 Pro was released on February 5, 2025.

Does Gemini 2.0 Pro support vision capabilities?

Yes, Gemini 2.0 Pro supports vision capabilities, allowing it to process and analyze visual inputs like images.

Can Gemini 2.0 Pro perform tool calling or functions?

Yes, Gemini 2.0 Pro supports tool calling (functions).

Is Gemini 2.0 Pro a multilingual model?

Yes, Gemini 2.0 Pro supports multiple languages, allowing it to handle input and output in various languages.

Does Gemini 2.0 Pro support fine-tuning?

Yes, Gemini 2.0 Pro supports fine-tuning on custom datasets.

Where can I find the official documentation for Gemini 2.0 Pro?

You can find the official documentation for Gemini 2.0 Pro here:
Gemini 2.0 Pro Documentation

Join thousands of AI builders

Collaborate with thousands of AI builders to discover, manage, and improve prompts—free to get started.