FlagshipOpen SourceAlibaba

Qwen 2.5 VL 72B

Qwen 2.5 VL 72B is Alibaba's flagship multimodal model supporting text and image inputs with a 128K token context window and tool calling capabilities.

Context 128K
Tier Flagship
Tools Supported
License Open Source
Modalities text, image
Input from
$0.800 / 1M tokens
across 2 providers

API Pricing

Cheapest on OpenRouter 20% below avg
ProviderInput / 1MOutput / 1MUpdated
$0.800$0.8004/14/2026
$1.20$1.204/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
Alibaba
Family
Qwen
Tier
Flagship
Context Window
128K
Modalities
Text, Image

Capabilities

Tool Calling
Yes
Open Source
Yes
Subtypes
Chat Completion

Strengths & Limitations

  • Open-source model with publicly available weights
  • Multimodal support for both text and image inputs
  • 128K token context window for processing long documents
  • Tool calling support with structured output capabilities
  • 72B parameters provide strong reasoning capabilities
  • Can be self-hosted for data privacy and control
  • Part of actively maintained Qwen model family
  • Large model size requires significant computational resources
  • Limited to text and image modalities (no audio or video)
  • Smaller context window compared to some competing models
  • May require technical expertise for self-deployment
  • Performance may vary compared to closed-source alternatives

Key Features

128K token context window
Multimodal processing (text and images)
Tool calling with structured output
Open-source model weights
Chat completion interface
Self-hosting capabilities
72B parameter architecture
Streaming response support

About Qwen 2.5 VL 72B

Qwen 2.5 VL 72B is Alibaba's flagship multimodal language model in the Qwen family, designed to handle both text and vision tasks. As the largest model in the Qwen 2.5 VL series, it represents Alibaba's top-tier offering for complex multimodal applications requiring sophisticated reasoning across text and visual inputs. The model features a 128K token context window and supports both text and image modalities, enabling it to process documents, analyze visual content, and engage in detailed conversations about images. It includes tool calling functionality, allowing integration with external APIs and services. As an open-source model, developers have access to the model weights and can deploy it on their own infrastructure. Qwen 2.5 VL 72B is positioned for applications requiring advanced multimodal understanding, from document analysis with charts and graphs to visual question answering and image-based reasoning tasks. Its open-source nature makes it accessible for research and commercial deployment while competing with other flagship multimodal models in terms of capability and context length.

Common Use Cases

Qwen 2.5 VL 72B is well-suited for complex multimodal applications requiring both visual and textual understanding. Its capabilities make it ideal for document analysis involving charts, graphs, and mixed media content, visual question answering systems, and educational applications that need to process textbook pages or technical diagrams. The model's tool calling features enable integration into agentic workflows for tasks like automated report generation from visual data or multimodal content creation. Organizations prioritizing data privacy or requiring customization benefit from its open-source nature, allowing for on-premises deployment and fine-tuning for specific domains like medical imaging analysis, technical documentation processing, or multimodal customer service applications.

Frequently Asked Questions

How much does Qwen 2.5 VL 72B cost per million tokens?

Qwen 2.5 VL 72B pricing varies by provider and deployment method, with different rates for hosted API access versus self-hosting the open-source model. Check the pricing table above for current rates across all providers offering this model.

What is Qwen 2.5 VL 72B best used for?

Qwen 2.5 VL 72B excels at multimodal tasks requiring analysis of both text and images, such as document understanding with visual elements, chart and graph interpretation, visual question answering, and educational content processing. Its tool calling capabilities make it suitable for building agents that can interact with external services while processing multimodal inputs.

Can I self-host Qwen 2.5 VL 72B since it's open source?

Yes, Qwen 2.5 VL 72B is open source with publicly available model weights, allowing for self-hosting and on-premises deployment. However, the 72B parameter size requires substantial computational resources including high-memory GPUs and significant storage capacity for optimal performance.