DeepSeek VL2 Tiny vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct leads the LLM Stats Score 9.7 to -4.7.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 VL 32B Instruct leads the overall LLM Stats Score 9.7 to -4.7, ranking #268 overall.
In the 4 individual benchmarks reported for both models, Qwen2.5 VL 32B Instruct wins 4; 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 32B Instruct
- overall performance matters — it scores 9.7 and ranks #268 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Feb 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 · 28 for Qwen2.5 VL 32B Instruct
DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 4 benchmarks (DocVQA, InfoVQA, MMMU, MMStar).
Qwen2.5 VL 32B 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 32B Instruct has 30.5B more parameters than DeepSeek VL2 Tiny, making it 1016.7% larger.
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 Tiny and Qwen2.5 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2 Tiny
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
DeepSeek VL2 Tiny is licensed under deepseek, while Qwen2.5 VL 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 Tiny was released on 2024-12-13, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 3 months newer than DeepSeek VL2 Tiny.
Dec 13, 2024
1.8 years ago
Feb 28, 2025
1.6 years ago
2mo 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 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 Tiny vs Qwen2.5 VL 32B Instruct.