Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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-V3.1
DeepSeek
2025-01-10
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Llama-3.3 Nemotron Super 49B v1
Average performance across 1 common benchmarks
DeepSeek-V3.1
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
DeepSeek-V3.1
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-V3.1
DeepInfra
Novita
Llama-3.3 Nemotron Super 49B v1
DeepSeek-V3.1
Llama-3.3 Nemotron Super 49B v1