Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 48.7% 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 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
2 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Context window and performance specifications
Average performance across 18 common benchmarks
Phi 4 Mini Reasoning
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Phi 4 Mini Reasoning
2025-02-01
Available providers and their performance metrics
Phi 4 Mini Reasoning
Phi-4-multimodal-instruct
DeepInfra
Phi 4 Mini Reasoning
Phi-4-multimodal-instruct
Phi 4 Mini Reasoning
Phi-4-multimodal-instruct