Model Comparison

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

Microsoft

Phi 4 Mini Reasoning

Microsoft

Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Alibaba

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.

Alibaba

Qwen2-VL-72B-Instruct

Alibaba

2024-08-29

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

8 months newer

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini Reasoning

math
+24.1%
94.6%
general
54.8%
Alibaba

Qwen2-VL-72B-Instruct

math
70.5%
general
+27.5%
82.2%
Knowledge Cutoff
Training data recency comparison

Qwen2-VL-72B-Instruct

2023-06-30

Phi 4 Mini Reasoning

2025-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi 4 Mini Reasoning

0 providers
Alibaba

Qwen2-VL-72B-Instruct

0 providers
Microsoft

Phi 4 Mini Reasoning

Avg Score:0.0%
Providers:0
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0