Qwen2.5-VL-72B-Instruct
Qwen2.5-VL-72B-Instruct is an AI model published by Alibaba, released on 2025-01-28, for Multimodal model, with 72B parameters, and 128K context length, requiring about 144GB storage, with a 96.40 score on DocVQA.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | ¥0.0080/ 1K | ¥0.024/ 1K |
Benchmark Results
Qwen2.5-VL-72B-Instruct currently shows benchmark results led by DocVQA (1 / 5, score 96.40), MMMU (22 / 29, score 70.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Multimodal Understanding
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Model Overview
Qwen2.5-VL-72B-Instruct is an AI model published by Alibaba, released on 2025-01-28, for Multimodal model, with 72B parameters, and 128K context length, requiring about 144GB storage, with a 96.40 score on DocVQA.
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