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Gemini 1.5 Pro Vision

Gemini 1.5 Pro Vision is a multimodal model from Google that processes images, documents, and text within a 1,000,000-token context window.

PublisherGoogle
TypeVision
Context Window1,000,000 tokens

Multimodal vision and text understanding from Google

Gemini 1.5 Pro Vision is a multimodal foundation model developed by Google, released under the full model name gemini-1.5-pro-001. It is designed to handle a wide range of tasks that combine visual and text inputs, including visual understanding, classification, summarization, and content creation from photographs, documents, infographics, and screenshots. The model supports a context window of up to 1,000,000 tokens, which allows it to process large volumes of mixed-modality content in a single request.

This model is well-suited for tasks such as analyzing images alongside lengthy documents, extracting structured information from visual sources, and generating descriptive or analytical content based on multimodal inputs. It accepts configurable parameters including temperature and maximum response tokens, with a maximum response size of 8,192 tokens. Note that this model has been marked as deprecated on MindStudio, meaning it may no longer receive updates and users should consider migrating to a current Gemini model for production use.

What Gemini 1.5 Pro Vision supports

Visual Understanding

Analyzes photographs, infographics, screenshots, and documents to extract meaning and generate descriptions. Handles diverse image types within a single request.

Large Context Window

Supports up to 1,000,000 tokens of context, enabling processing of extensive documents or large volumes of mixed text and visual content in one pass.

Multimodal Summarization

Summarizes content derived from both image and text inputs, including visual documents and infographics. Useful for condensing complex multimodal sources.

Content Classification

Classifies visual and textual content into categories based on the provided inputs. Applicable to image-based documents and mixed-format data.

Configurable Output

Exposes temperature and max response token parameters, allowing developers to tune output randomness and length up to a maximum of 8,192 response tokens.

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Common questions about Gemini 1.5 Pro Vision

What is the context window size for Gemini 1.5 Pro Vision?

Gemini 1.5 Pro Vision supports a context window of up to 1,000,000 tokens, allowing large volumes of text and visual content to be processed in a single request.

What is the maximum response size for this model?

The model has a maximum response size of 8,192 tokens per request.

What types of inputs does Gemini 1.5 Pro Vision accept?

The model is designed to process visual and text inputs, including photographs, documents, infographics, and screenshots, alongside text prompts.

Is Gemini 1.5 Pro Vision still actively supported?

This model is currently marked as deprecated on MindStudio. Users building new applications should consider migrating to a current, non-deprecated Gemini model.

What parameters can developers configure for this model?

Developers can configure two parameters: temperature, which controls output randomness, and max response tokens, which sets the upper limit on the length of the model's response.

Parameters & options

Max Temperature1
Max Response Size8,192 tokens
TemperatureNumber
Default: 1Range: 0–1 (step 0.1)
Max Response TokensNumber
Default: 4096Range: 1–8192 (step 1)

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