Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 29.4% higher average benchmark score. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. 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%). 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 Cloud / Qwen Team's latest advancement in AI technology.
27 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Context window and performance specifications
Average performance across 36 common benchmarks
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
DeepInfra
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
Phi-3.5-MoE-instruct
Qwen2.5-Coder 32B Instruct
Fireworks
Hyperbolic
Lambda