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

GPT-4
OpenAI
GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

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.

GPT-4
OpenAI
2023-06-13

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28
1 year newer
Performance Metrics
Context window and performance specifications

GPT-4

Qwen2.5 VL 32B Instruct
Average performance across 4 common benchmarks

GPT-4

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

GPT-4

Qwen2.5 VL 32B Instruct
GPT-4
2022-12-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4
Azure
OpenAI

Qwen2.5 VL 32B Instruct

GPT-4

Qwen2.5 VL 32B Instruct