Activefastmultimodal Open Source

Phi-3.5 Vision

by Microsoft· Released August 2024· Cutoff August 2024

Phi-3.5 Vision is a lightweight, state-of-the-art multimodal model that processes both text and images. It excels in reasoning over images, extracting information from charts and tables, and understanding video frames. As part of the Phi-3 family, it offers strong performance in a compact size, suitable for resource-constrained environments.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

textimage

Parameters

4.2B

License

MIT

Capabilities

VisionImage UnderstandingChart and Table ExtractionVideo Frame AnalysisOCRMultilingual SupportReasoningCode Generation

Best For

Multimodal reasoning tasks requiring image understanding in a small, efficient model.

Strengths

Strong multimodal reasoning for its size
Efficient and fast inference
Supports high-resolution images
128K context window
Open source with permissive license

Limitations

Smaller parameter count limits complex reasoning
Not as capable as larger frontier models
Limited to text and image inputs (no audio/video)
May struggle with highly nuanced visual tasks

Use Cases

Extracting data from scanned documents and forms

Analyzing charts and graphs for business intelligence

Captioning and describing images for accessibility

Visual question answering in education

Processing video frames for surveillance or content moderation

Assisting visually impaired users with scene understanding

Automating data entry from images

Improvements Over Previous Model

Introduced vision capabilities compared to text-only Phi-3
Supports 128K context window, up from 4K in Phi-3
Improved multilingual support
Better reasoning on visual tasks
Open source under MIT license

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Activefastmultimodal Open Source

Phi-3.5 Vision

by Microsoft· Released August 2024· Cutoff August 2024

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

textimage

Parameters

4.2B

License

MIT

Capabilities

VisionImage UnderstandingChart and Table ExtractionVideo Frame AnalysisOCRMultilingual SupportReasoningCode Generation

Best For

Multimodal reasoning tasks requiring image understanding in a small, efficient model.

Strengths

Strong multimodal reasoning for its size
Efficient and fast inference
Supports high-resolution images
128K context window
Open source with permissive license

Limitations

Smaller parameter count limits complex reasoning
Not as capable as larger frontier models
Limited to text and image inputs (no audio/video)
May struggle with highly nuanced visual tasks

Use Cases

Extracting data from scanned documents and forms

Analyzing charts and graphs for business intelligence

Captioning and describing images for accessibility

Visual question answering in education

Processing video frames for surveillance or content moderation

Assisting visually impaired users with scene understanding

Automating data entry from images

Improvements Over Previous Model

Introduced vision capabilities compared to text-only Phi-3
Supports 128K context window, up from 4K in Phi-3
Improved multilingual support
Better reasoning on visual tasks
Open source under MIT license

Back to all models