DeepSeek VL2 vs QvQ-72B-Preview
QvQ-72B-Preview leads the LLM Stats Score 7.9 to 2.9.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
QvQ-72B-Preview leads the overall LLM Stats Score 7.9 to 2.9, ranking #290 overall.
In the 2 individual benchmarks reported for both models, QvQ-72B-Preview wins 2; 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
- you are already invested in the DeepSeek ecosystem
Choose QvQ-72B-Preview
- overall performance matters — it scores 7.9 and ranks #290 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Dec 2024
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 · 4 for QvQ-72B-Preview
DeepSeek VL2 outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU).
QvQ-72B-Preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
QvQ-72B-Preview has 46.4B more parameters than DeepSeek VL2, making it 171.9% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 and QvQ-72B-Preview support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2
QvQ-72B-Preview
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while QvQ-72B-Preview was released on 2024-12-25.
QvQ-72B-Preview is 0 month newer than DeepSeek VL2.
Dec 13, 2024
1.8 years ago
Dec 25, 2024
1.8 years ago
1w 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 and QvQ-72B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs QvQ-72B-Preview.