Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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 12B
2025-03-12
Granite 3.3 8B Base
IBM
2025-04-16
1 month newer
Performance Metrics
Context window and performance specifications
Gemma 3 12B
Granite 3.3 8B Base
Average performance across 4 common benchmarks
Gemma 3 12B
Granite 3.3 8B Base
Performance comparison across key benchmark categories
Gemma 3 12B
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
Granite 3.3 8B Base
Gemma 3 12B
Granite 3.3 8B Base