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.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
3 months newer
Performance comparison across key benchmark categories
DeepSeek VL2 Tiny
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek VL2 Tiny
Llama-3.3 Nemotron Super 49B v1
DeepSeek VL2 Tiny
Llama-3.3 Nemotron Super 49B v1