Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 3.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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 IBM'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
Granite 3.3 8B Instruct
IBM
2025-04-16
Context window and performance specifications
Average performance across 29 common benchmarks
Granite 3.3 8B Instruct
Phi-4-multimodal-instruct
Granite 3.3 8B Instruct
2024-04-01
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Granite 3.3 8B Instruct
Phi-4-multimodal-instruct
DeepInfra
Granite 3.3 8B Instruct
Phi-4-multimodal-instruct
Granite 3.3 8B Instruct
Phi-4-multimodal-instruct