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.
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 3B Instruct
Meta
2024-09-25
Granite 3.3 8B Instruct
IBM
2025-04-16
6 months newer
Performance Metrics
Context window and performance specifications
Granite 3.3 8B Instruct
Llama 3.2 3B Instruct
Average performance across 3 common benchmarks
Granite 3.3 8B Instruct
Llama 3.2 3B Instruct
Performance comparison across key benchmark categories
Granite 3.3 8B Instruct
Llama 3.2 3B Instruct
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics
Granite 3.3 8B Instruct
Llama 3.2 3B Instruct
DeepInfra
Granite 3.3 8B Instruct
Llama 3.2 3B Instruct