Qwen2.5 VL 72B is Alibaba's previous-generation multimodal flagship — 72B parameters for image, document, chart, and video understanding, proven across enterprise deployments worldwide.
Qwen2.5 VL 72B is an AI model released September 2024 by Qwen, a leading organization in large language model research. Expert-level vision-language model — understands complex images, charts, and documents with deep reasoning capabilities. With 72B and a 128K tokens context window, Qwen2.5 VL 72B is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.
Qwen2.5 VL 72B uses a dense transformer architecture with 72B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. Qwen's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Qwen2.5 VL 72B's characteristic balance of capability, helpfulness, and safety.
As of 2026-10-16, Qwen2.5 VL 72B by Qwen demonstrates measurable performance on standard AI evaluation benchmarks. On DocVQA — which measures model performance on specialized evaluation tasks — it achieves 96.5%. In mathematical reasoning, Qwen2.5 VL 72B records 74.8% on MathVista. These scores place Qwen2.5 VL 72B — at 72B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
The primary strengths of Qwen2.5 VL 72B are: 96.5% DocVQA — top open VLM for document understanding at 72B scale; Strong mathematical visual reasoning: 74.8% MathVista; Apache 2.0 — free commercial use. These make it particularly well-suited for Enterprise document AI requiring 72B quality, Mathematical chart and figure reasoning. Users working on complex, multi-step problems benefit most from Qwen2.5 VL 72B's ability to maintain coherence across long inputs and produce structured, verifiable outputs.
Like all current AI systems, Qwen2.5 VL 72B has limitations: 40GB+ VRAM requirement; Superseded by Qwen3 VL models. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Qwen continues to improve Qwen2.5 VL 72B through ongoing research.
Qwen2.5 VL 72B is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Qwen2.5 VL 72B accessible to students, researchers, developers, and early-stage teams globally.
As of 2026-10-16, Qwen2.5 VL 72B by Qwen demonstrates measurable performance on standard AI evaluation benchmarks. On DocVQA — which measures model performance on specialized evaluation tasks — it achieves 96.5%. In mathematical reasoning, Qwen2.5 VL 72B records 74.8% on MathVista. These scores place Qwen2.5 VL 72B — at 72B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
Dense transformer + vision encoder, 72B parameters, Qwen2.5-VL
The training pipeline for Qwen2.5 VL 72B involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. Qwen's research team — based in China — has optimized Qwen2.5 VL 72B for the specific capability profile described above.
Inference efficiency: Qwen2.5 VL 72B at 72B is designed to deliver quality outputs at practical serving speeds. Its 128K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.
Getting started with Qwen2.5 VL 72B on LITHOVEX AI takes under two minutes. Follow these steps:
For best results with Qwen2.5 VL 72B: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.
Enterprise document intelligence platforms
Multi-page PDF analysis for legal and compliance teams
Visual search for manufacturing quality control
Research paper figure and data extraction
E-commerce visual catalog automation
Qwen (Tongyi Qianwen) is the AI model family from Alibaba Cloud, the cloud computing arm of Alibaba Group — one of the world's largest technology companies with over $100 billion in annual revenue. Alibaba invested in AI research through its DAMO Academy starting in 2017. The Qwen3 generation, released in April 2025, represents a major leap in open-model capability: models from 8B to 235B parameters, with hybrid thinking modes and 119-language support, all released under Apache 2.0 licenses for commercial use. Qwen models consistently rank at the top of the Open LLM Leaderboard and have been widely adopted across Asia, Europe, and North America for both commercial and research applications.
Funding: Part of Alibaba Group (NYSE: BABA, $100B+ annual revenue)
Founded: 1999, headquartered in China.
Qwen2.5 VL 72B by Qwen competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.
Both Qwen2.5 VL 72B and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.
Qwen2.5 VL 72B is released under Apache 2.0, which means you can download and run it on your own hardware. Below are the quickest ways to get started.
LITHOVEX AI runs Qwen2.5 VL 72B on cloud infrastructure, so you can use it instantly in your browser without downloading anything, configuring drivers, or managing VRAM. Create a free account and start in under 60 seconds.
Qwen2.5 VL 72B is the standard reference for open-source vision-language models globally. Enterprise teams in Japan, China, South Korea, and Germany use it as the foundation for document intelligence, visual QA systems, and multimodal search applications.
Qwen2.5 VL 72B by Qwen has the following version history and notable updates:
For the complete changelog and latest release notes, visit the official Qwen model page.