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 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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 32B Instruct
Alibaba
2024-09-19
27 days newer
Performance Metrics
Context window and performance specifications
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
Average performance across 10 common benchmarks
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct