Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 14.9% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K 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 Microsoft's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Context window and performance specifications
Average performance across 46 common benchmarks
Phi-3.5-mini-instruct
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Available providers and their performance metrics
Phi-3.5-mini-instruct
Azure
Qwen2-VL-72B-Instruct
Phi-3.5-mini-instruct
Qwen2-VL-72B-Instruct
Phi-3.5-mini-instruct
Qwen2-VL-72B-Instruct