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

Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K 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 Google's latest advancement in AI technology.

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.

Gemma 3 4B
2025-03-12

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

Gemma 3 4B

Granite 3.3 8B Instruct
Average performance across 4 common benchmarks

Gemma 3 4B

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

Gemma 3 4B

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Granite 3.3 8B Instruct

Gemma 3 4B

Granite 3.3 8B Instruct