Model Comparison

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

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

DeepSeek-V3 0324

DeepSeek

2025-03-25

25 days newer

Average performance across 2 common benchmarks

DeepSeek-V3 0324

+17.4%

Average Score:74.8%

Qwen2.5 VL 32B Instruct

Average Score:57.4%

Performance comparison across key benchmark categories

DeepSeek-V3 0324

math

+28.9%

94.0%

code

49.2%

general

+9.6%

69.7%

Qwen2.5 VL 32B Instruct

math

65.1%

code

+38.5%

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-V3 0324

0 providers

Qwen2.5 VL 32B Instruct

0 providers

DeepSeek-V3 0324

+17.4%

Avg Score:74.8%

Providers:0

Qwen2.5 VL 32B Instruct

Avg Score:57.4%

Providers:0