Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek VL2 Small

DeepSeek

DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

Alibaba

QwQ-32B

Alibaba

2025-03-05

2 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

math
60.7%
roleplay
62.9%
general
68.9%
Alibaba

QwQ-32B

math
+29.9%
90.6%
roleplay
+10.2%
73.1%
general
+1.5%
70.4%
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
Alibaba

QwQ-32B

0 providers
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0