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Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct

Open WeightsMultimodaltextimageUpdated September 1, 2024
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

Qwen2.5-VL 72B Instruct

📌 Model Overview

Qwen vision-language model for visual reasoning, documents, and agent tasks

Qwen2.5-VL 72B Instruct is a Open Weights model developed by Alibaba, released on 2024-09-01. It is designed primarily for Multimodal General workloads. Featuring a 131K tokens context window and 72B parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window131K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Multimodal General
Deploymentself-hostable, api-only
Modalitytext, image
Max OutputMax Output: 8K tokens
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabAlibaba
Release Date2024-09-01
Model TypeOpen Weights
Parameters72B
Context Window131K tokens
LicenseApache-2.0
Model Familyqwen

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$0.25
1M output tokens$0.75

🔗 Resources & Links

Specification Table

📜 License & Usage

This model is governed by the Apache-2.0 license. Please check official developer guidelines before commercial deployment.

Key Features

Max Output: 8K tokens

Feature 01

Tool / function calling support

Feature 02

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Verified Sources

Tags

tool-callingopen-weights

Model Specs

open-weights

Parameters

72B

Context Window

131K tokens

License

Apache-2.0

Deployment

self-hostableapi-only

Pricing

  • 1M input tokens$0.25
  • 1M output tokens$0.75

as of 2026-07-26

Resources & Links

Lineage

Curator Notes

Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.

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