Model Comparison

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

Microsoft

Phi 4 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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

Qwen2.5-Omni-7B

Alibaba

Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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.

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

Alibaba

Qwen2.5-Omni-7B

Alibaba

2025-03-27

1 month newer

Average performance across 4 common benchmarks

Microsoft

Phi 4 Mini

Average Score:57.6%
Alibaba

Qwen2.5-Omni-7B

+1.9%
Average Score:59.5%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

math
+8.9%
72.2%
general
+2.2%
60.8%
Alibaba

Qwen2.5-Omni-7B

math
63.3%
general
58.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi 4 Mini

0 providers
Alibaba

Qwen2.5-Omni-7B

0 providers
Microsoft

Phi 4 Mini

Avg Score:57.6%
Providers:0
Alibaba

Qwen2.5-Omni-7B

+1.9%
Avg Score:59.5%
Providers:0