Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Granite 3.3 8B Instruct
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%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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.

Phi 4
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. 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.

Phi 4
Microsoft
2024-12-12

Granite 3.3 8B Instruct
IBM
2025-04-16
4 months newer
Performance Metrics
Context window and performance specifications

Granite 3.3 8B Instruct

Phi 4
Average performance across 6 common benchmarks

Granite 3.3 8B Instruct

Phi 4
Performance comparison across key benchmark categories

Granite 3.3 8B Instruct

Phi 4
Granite 3.3 8B Instruct
2024-04-01
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Granite 3.3 8B Instruct

Phi 4
DeepInfra

Granite 3.3 8B Instruct

Phi 4