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-3.3 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
DeepSeek
2024-12-13
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
3 months newer
Performance Metrics
Context window and performance specifications
DeepSeek VL2
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
DeepSeek VL2
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
Replicate
Llama-3.3 Nemotron Super 49B v1
DeepSeek VL2
Llama-3.3 Nemotron Super 49B v1