Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 25.4% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Context window and performance specifications
Average performance across 22 common benchmarks
Phi-4-multimodal-instruct
QwQ-32B
Phi-4-multimodal-instruct
2024-06-01
QwQ-32B
2024-11-28
Available providers and their performance metrics
Phi-4-multimodal-instruct
DeepInfra
QwQ-32B
Phi-4-multimodal-instruct
QwQ-32B
Phi-4-multimodal-instruct
QwQ-32B