Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 15.0% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 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-vision-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 24 common benchmarks
Phi-3.5-vision-instruct
Qwen2.5-Coder 32B Instruct
Available providers and their performance metrics
Phi-3.5-vision-instruct
Qwen2.5-Coder 32B Instruct
DeepInfra
Phi-3.5-vision-instruct
Qwen2.5-Coder 32B Instruct
Phi-3.5-vision-instruct
Qwen2.5-Coder 32B Instruct
Fireworks
Hyperbolic
Lambda