Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 10.8% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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.
Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
2 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Gemma 3 1B
2025-03-12
Average performance across 32 common benchmarks
DeepSeek VL2 Tiny
Gemma 3 1B
Available providers and their performance metrics
DeepSeek VL2 Tiny
Gemma 3 1B
DeepSeek VL2 Tiny
Gemma 3 1B