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Hive

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Multimodal
Language Models

Introducing the Hive Vision Language Model, a multimodal language model optimized for tasks like content tagging and moderation

How customers use our Multimodal Language Models

What makes our Hive Vision Language Model unique

Accurate responses for a wide range of multimodal use cases

Accurate responses for a wide range of multimodal use cases

Explore everything you can achieve with our API in the documentation. From generating detailed captions to answering contextual questions, our models deliver reliable results for text, image, and video inputs.

Input

Input : image (gif, jpg, png, webp) or video (mp4, webm, avi, mkv, wmv, mov), prompt

Response

Response : Clear, accurate captions, direct answers to your questions, or moderation scoring —powered by our advanced Vision models.

Why choose our Multimodal Language Models

Why choose our Multimodal Language Models

Speed at scale

Speed at scale

We handle high volume with ease and efficiency, serving real-time responses to billions of API calls per month.
Proactive updates

Proactive updates

Our Multimodal Language Model is regularly upgraded to improve performance and keep up with evolving customer needs.
Simple integration

Simple integration

Get accurate image descriptions on demand. Integrate our Multimodal Language Model into any application with just a few clicks.

Simple usage based pricing so you only pay for what you use

Multimodal Language Model Pricing Details

Model
Unit

Hive Vision Language Model

$0.50

1M Input Tokens

$2.50

1M Output Tokens

Note:
For Hive Vision Language Model, each input image is broken down into up to 6 tiles depending on the aspect ratio, and each tile is 256 Input Tokens.

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