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

Phi 4
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft'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.

Phi 4
Microsoft
2024-12-12

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

Phi 4

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

Phi 4

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

Phi 4

Qwen2.5 VL 32B Instruct
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4
DeepInfra

Qwen2.5 VL 32B Instruct

Phi 4

Qwen2.5 VL 32B Instruct