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 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.

Gemma 3 4B
2025-03-12

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

Gemma 3 4B

Granite 3.3 8B Base
Average performance across 4 common benchmarks

Gemma 3 4B

Granite 3.3 8B Base
Performance comparison across key benchmark categories

Gemma 3 4B

Granite 3.3 8B Base
Granite 3.3 8B Base
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 Base

Gemma 3 4B

Granite 3.3 8B Base