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 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Llama 4 Scout
Meta
2025-04-05

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

Granite 3.3 8B Instruct

Llama 4 Scout
Average performance across 1 common benchmarks

Granite 3.3 8B Instruct

Llama 4 Scout
Performance comparison across key benchmark categories

Granite 3.3 8B Instruct

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

Granite 3.3 8B Instruct

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Granite 3.3 8B Instruct

Llama 4 Scout