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

Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba
2024-08-29

Phi 4 Reasoning
Microsoft
2025-04-30
8 months newer
Performance comparison across key benchmark categories

Phi 4 Reasoning

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Reasoning

Qwen2-VL-72B-Instruct

Phi 4 Reasoning

Qwen2-VL-72B-Instruct