DeepSeek VL2 Small vs Qwen2.5-Omni-7B
DeepSeek VL2 Small and Qwen2.5-Omni-7B are closely matched at 1.4 and 5.3 on the LLM Stats Score.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek VL2 Small and Qwen2.5-Omni-7B are closely matched on the overall LLM Stats Score at 1.4 and 5.3.
In the 9 individual benchmarks reported for both models, Qwen2.5-Omni-7B wins 9; 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 Small
- you are already invested in the DeepSeek ecosystem
Choose Qwen2.5-Omni-7B
- you value its reported benchmark strengths — it wins 9 of 9 exact shared results
- you want the most recent training data — it shipped Mar 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 Small · 45 for Qwen2.5-Omni-7B
DeepSeek VL2 Small outperforms in 0 benchmarks, while Qwen2.5-Omni-7B is better at 9 benchmarks (AI2D, ChartQA, DocVQA, MathVista, MMBench-V1.1, MMMU, MMStar, RealWorldQA, TextVQA).
Qwen2.5-Omni-7B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek VL2 Small has 9.0B more parameters than Qwen2.5-Omni-7B, making it 128.6% larger.
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 Small and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2 Small
Qwen2.5-Omni-7B
License
Usage and distribution terms
DeepSeek VL2 Small is licensed under deepseek, while Qwen2.5-Omni-7B 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 Small was released on 2024-12-13, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 3 months newer than DeepSeek VL2 Small.
Dec 13, 2024
1.7 years ago
Mar 27, 2025
1.4 years ago
3mo 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 Small and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 Small vs Qwen2.5-Omni-7B.