Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek VL2 Tiny
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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.

Granite 3.3 8B Instruct
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%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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.

DeepSeek VL2 Tiny
DeepSeek
2024-12-13

Granite 3.3 8B Instruct
IBM
2025-04-16
4 months newer
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

Granite 3.3 8B Instruct
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

Granite 3.3 8B Instruct

DeepSeek VL2 Tiny

Granite 3.3 8B Instruct