Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 13.2% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Qwen2.5 7B 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 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Context window and performance specifications
Average performance across 23 common benchmarks
Phi-3.5-vision-instruct
Qwen2.5 7B Instruct
Available providers and their performance metrics
Phi-3.5-vision-instruct
Qwen2.5 7B Instruct
Together
Phi-3.5-vision-instruct
Qwen2.5 7B Instruct
Phi-3.5-vision-instruct
Qwen2.5 7B Instruct