DeepSeek VL2 Tiny vs Qwen2.5 VL 72B Instruct
Qwen2.5 VL 72B Instruct leads the LLM Stats Score 12.7 to -4.7.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 VL 72B Instruct leads the overall LLM Stats Score 12.7 to -4.7, ranking #250 overall.
In the 7 individual benchmarks reported for both models, Qwen2.5 VL 72B Instruct wins 7; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2 Tiny
- you are already invested in the DeepSeek ecosystem
Choose Qwen2.5 VL 72B Instruct
- overall performance matters — it scores 12.7 and ranks #250 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 7 of 7 exact shared results
- you want the most recent training data — it shipped Jan 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for DeepSeek VL2 Tiny · 30 for Qwen2.5 VL 72B Instruct
DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Qwen2.5 VL 72B Instruct is better at 7 benchmarks (AI2D, ChartQA, DocVQA, MMBench, MMMU, MMStar, OCRBench).
Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 VL 72B Instruct has 69.0B more parameters than DeepSeek VL2 Tiny, making it 2300.0% larger.
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 Tiny and Qwen2.5 VL 72B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2 Tiny
Qwen2.5 VL 72B Instruct
License
Usage and distribution terms
DeepSeek VL2 Tiny is licensed under deepseek, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 Tiny was released on 2024-12-13, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.
Qwen2.5 VL 72B Instruct is 1 month newer than DeepSeek VL2 Tiny.
Dec 13, 2024
1.8 years ago
Jan 26, 2025
1.6 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 Tiny and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 Tiny vs Qwen2.5 VL 72B Instruct.