Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 20.7% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
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.
5 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 46 common benchmarks
Phi-3.5-MoE-instruct
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Phi-3.5-MoE-instruct
Phi-4-multimodal-instruct
DeepInfra
Phi-3.5-MoE-instruct
Phi-4-multimodal-instruct
Phi-3.5-MoE-instruct
Phi-4-multimodal-instruct