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

Granite 3.3 8B Base
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.

Phi-4-multimodal-instruct
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%). The model shows particular specialization in general tasks with an average performance of 75.8%. 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.

Phi-4-multimodal-instruct
Microsoft
2025-02-01

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

Granite 3.3 8B Base

Phi-4-multimodal-instruct
Performance comparison across key benchmark categories

Granite 3.3 8B Base

Phi-4-multimodal-instruct
Granite 3.3 8B Base
2024-04-01
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
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