Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 5.9% higher average benchmark score. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 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 Base
IBM
2025-04-16
Context window and performance specifications
Average performance across 35 common benchmarks
Granite 3.3 8B Base
Phi-4-multimodal-instruct
Granite 3.3 8B Base
2024-04-01
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Granite 3.3 8B Base
Phi-4-multimodal-instruct
DeepInfra
Granite 3.3 8B Base
Phi-4-multimodal-instruct
Granite 3.3 8B Base
Phi-4-multimodal-instruct