Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

6 days newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
+27.4%
83.9%
general
43.3%
Alibaba

Qwen2.5 VL 72B Instruct

math
56.5%
general
+26.4%
69.6%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

0 providers
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0