Activefrontiermultimodal Open Source

Qwen2.5-VL 72B

by Alibaba· Released January 2025· Cutoff September 2024

Qwen2.5-VL 72B is Alibaba's flagship multimodal model, excelling in vision-language tasks such as image and video understanding, document parsing, and visual reasoning. It builds on the Qwen2.5 language model with enhanced visual perception and dynamic resolution support.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

131072 tokens

Max output

8192 tokens

Modalities

textimagevideo

Parameters

72B

License

Apache-2.0

Capabilities

VisionVideo UnderstandingDocument ParsingFunction CallingCode GenerationMultilingual SupportDynamic Resolution

Best For

Complex multimodal reasoning tasks requiring high accuracy in visual understanding and document analysis.

Strengths

State-of-the-art performance on vision-language benchmarks
Supports dynamic resolution for high-resolution images
Strong multilingual capabilities
Open-source with permissive license

Limitations

Large model size requires significant computational resources
May not be optimized for real-time applications
Limited to text and image/video inputs (no audio natively)

Use Cases

Visual question answering

Document and chart understanding

Video summarization and analysis

Multimodal chatbots

Code generation from screenshots

Educational content analysis

Automated report generation from images

Improvements Over Previous Model

Dynamic resolution support for variable image sizes
Enhanced video understanding with temporal modeling
Improved OCR and document parsing accuracy
Better multilingual performance across 29 languages
Faster inference with FlashAttention-2 support

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Activefrontiermultimodal Open Source

Qwen2.5-VL 72B

by Alibaba· Released January 2025· Cutoff September 2024

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

131072 tokens

Max output

8192 tokens

Modalities

textimagevideo

Parameters

72B

License

Apache-2.0

Capabilities

VisionVideo UnderstandingDocument ParsingFunction CallingCode GenerationMultilingual SupportDynamic Resolution

Best For

Complex multimodal reasoning tasks requiring high accuracy in visual understanding and document analysis.

Strengths

State-of-the-art performance on vision-language benchmarks
Supports dynamic resolution for high-resolution images
Strong multilingual capabilities
Open-source with permissive license

Limitations

Large model size requires significant computational resources
May not be optimized for real-time applications
Limited to text and image/video inputs (no audio natively)

Use Cases

Visual question answering

Document and chart understanding

Video summarization and analysis

Multimodal chatbots

Code generation from screenshots

Educational content analysis

Automated report generation from images

Improvements Over Previous Model

Dynamic resolution support for variable image sizes
Enhanced video understanding with temporal modeling
Improved OCR and document parsing accuracy
Better multilingual performance across 29 languages
Faster inference with FlashAttention-2 support

Back to all models