Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 11.1% higher average benchmark score. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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.
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%). 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.
1 month newer
Gemma 3 4B
2025-03-12
Granite 3.3 8B Instruct
IBM
2025-04-16
Context window and performance specifications
Average performance across 36 common benchmarks
Gemma 3 4B
Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Granite 3.3 8B Instruct
Gemma 3 4B
Granite 3.3 8B Instruct
Gemma 3 4B
Granite 3.3 8B Instruct