Model Comparison

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

DeepSeek

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). 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 32B Instruct

Alibaba

Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 Zero

DeepSeek

2025-01-20

Alibaba

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

1 month newer

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Zero

+27.3%
Average Score:73.3%
Alibaba

Qwen2.5 VL 32B Instruct

Average Score:46.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Zero

math
+30.8%
95.9%
code
50.0%
general
+19.9%
80.0%
Alibaba

Qwen2.5 VL 32B Instruct

math
65.1%
code
+37.8%
87.8%
general
60.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Zero

0 providers
Alibaba

Qwen2.5 VL 32B Instruct

0 providers
DeepSeek

DeepSeek R1 Zero

+27.3%
Avg Score:73.3%
Providers:0
Alibaba

Qwen2.5 VL 32B Instruct

Avg Score:46.0%
Providers:0