Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 21.6% higher average benchmark score. Granite 3.3 8B Instruct supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Granite 3.3 8B Instruct
IBM
2025-04-16
Context window and performance specifications
Average performance across 39 common benchmarks
Granite 3.3 8B Instruct
Phi-3.5-mini-instruct
Granite 3.3 8B Instruct
2024-04-01
Available providers and their performance metrics
Granite 3.3 8B Instruct
Phi-3.5-mini-instruct
Azure
Granite 3.3 8B Instruct
Phi-3.5-mini-instruct
Granite 3.3 8B Instruct
Phi-3.5-mini-instruct