Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 14.7% higher average benchmark score. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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.
2 months newer
Granite 3.3 8B Base
IBM
2025-04-16
Gemma 3n E4B Instructed
2025-06-26
Context window and performance specifications
Average performance across 36 common benchmarks
Gemma 3n E4B Instructed
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Granite 3.3 8B Base
Gemma 3n E4B Instructed
Granite 3.3 8B Base
Gemma 3n E4B Instructed
Granite 3.3 8B Base