Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek VL2
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K 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. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
DeepSeek VL2
DeepSeek
2024-12-13
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
3 months newer
Performance Metrics
Context window and performance specifications
DeepSeek VL2
Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories
DeepSeek VL2
Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek VL2
Replicate
Llama 3.1 Nemotron Ultra 253B v1
DeepSeek VL2
Llama 3.1 Nemotron Ultra 253B v1