Model Comparison

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

IBM

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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

IBM

Granite 3.3 8B Base

IBM

2025-04-16

7 months newer

Performance comparison across key benchmark categories

IBM

Granite 3.3 8B Base

general
59.7%
math
+20.1%
64.0%
Microsoft

Phi-3.5-vision-instruct

general
+16.2%
75.9%
math
43.9%
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Base

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

IBM

Granite 3.3 8B Base

0 providers
Microsoft

Phi-3.5-vision-instruct

0 providers
IBM

Granite 3.3 8B Base

Avg Score:0.0%
Providers:0
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0