Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 14B

DeepSeek

DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). 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 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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 R1 Distill Qwen 14B

DeepSeek

2025-01-20

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

6 days newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 14B

math
+47.3%
93.9%
general
+1.8%
69.5%
Alibaba

Qwen2.5 VL 7B Instruct

math
46.6%
general
67.7%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 14B

0 providers
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 14B

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0