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-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

27 days newer

Average performance across 10 common benchmarks

Phi-3.5-MoE-instruct

+8.6%

Average Score:75.8%

Qwen2.5-Coder 7B Instruct

Average Score:67.1%

Performance comparison across key benchmark categories

Phi-3.5-MoE-instruct

reasoning

+15.2%

85.4%

factuality

+26.9%

77.5%

code

+18.5%

75.8%

math

+3.7%

69.0%

general

+8.7%

60.9%

Qwen2.5-Coder 7B Instruct

reasoning

70.2%

factuality

50.6%

code

57.3%

math

65.3%

general

52.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Phi-3.5-MoE-instruct

0 providers

Qwen2.5-Coder 7B Instruct

0 providers

Phi-3.5-MoE-instruct

+8.6%

Avg Score:75.8%

Providers:0

Qwen2.5-Coder 7B Instruct

Avg Score:67.1%

Providers:0