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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 7B Instruct

Alibaba

2024-07-23

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

1 month newer

Average performance across 7 common benchmarks

Phi-3.5-MoE-instruct

+6.0%

Average Score:65.8%

Qwen2 7B Instruct

Average Score:59.8%

Performance comparison across key benchmark categories

Phi-3.5-MoE-instruct

code

+11.5%

75.8%

math

+3.0%

69.0%

general

+11.5%

60.9%

Qwen2 7B Instruct

code

64.2%

math

66.0%

general

49.4%

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 7B Instruct

0 providers

Phi-3.5-MoE-instruct

+6.0%

Avg Score:65.8%

Providers:0

Qwen2 7B Instruct

Avg Score:59.8%

Providers:0