Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 9.2% higher average benchmark score. Overall, Granite 3.3 8B Base is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek'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.
4 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Granite 3.3 8B Base
IBM
2025-04-16
Average performance across 34 common benchmarks
DeepSeek VL2 Small
Granite 3.3 8B Base
Granite 3.3 8B Base
2024-04-01
Available providers and their performance metrics
DeepSeek VL2 Small
Granite 3.3 8B Base
DeepSeek VL2 Small
Granite 3.3 8B Base