Model Comparison

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

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-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

5 months newer

Average performance across 5 common benchmarks

Qwen2.5 VL 32B Instruct

+15.7%

Average Score:81.0%

Qwen2.5-Coder 7B Instruct

Average Score:65.2%

Performance comparison across key benchmark categories

Qwen2.5 VL 32B Instruct

code

+30.5%

87.8%

math

65.1%

general

+7.8%

60.1%

Qwen2.5-Coder 7B Instruct

code

57.3%

math

+0.2%

65.3%

general

52.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Qwen2.5 VL 32B Instruct

0 providers

Qwen2.5-Coder 7B Instruct

0 providers

Qwen2.5 VL 32B Instruct

+15.7%

Avg Score:81.0%

Providers:0

Qwen2.5-Coder 7B Instruct

Avg Score:65.2%

Providers:0