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

Phi-3.5-MoE-instruct
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. 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-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.

Phi-3.5-MoE-instruct
Microsoft
2024-08-23

Qwen2.5-Omni-7B
Alibaba
2025-03-27
7 months newer
Average performance across 6 common benchmarks

Phi-3.5-MoE-instruct

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

Phi-3.5-MoE-instruct

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-MoE-instruct

Qwen2.5-Omni-7B

Phi-3.5-MoE-instruct

Qwen2.5-Omni-7B