Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 2.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 2025, 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.
5 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 26 common benchmarks
Phi-4-multimodal-instruct
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Phi-4-multimodal-instruct
DeepInfra
Qwen2-VL-72B-Instruct
Phi-4-multimodal-instruct
Qwen2-VL-72B-Instruct
Phi-4-multimodal-instruct
Qwen2-VL-72B-Instruct