Model Comparison

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

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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 Tiny

DeepSeek

2024-12-13

Alibaba

QwQ-32B

Alibaba

2025-03-05

2 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Tiny

math
53.6%
roleplay
53.2%
general
62.5%
Alibaba

QwQ-32B

math
+37.0%
90.6%
roleplay
+19.9%
73.1%
general
+7.8%
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 Tiny

0 providers
Alibaba

QwQ-32B

0 providers
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0