Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. 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-R1
DeepSeek
2025-01-20
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
1 month newer
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Llama-3.3 Nemotron Super 49B v1
Average performance across 3 common benchmarks
DeepSeek-R1
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
DeepSeek-R1
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-R1
Together
DeepInfra
Fireworks
DeepSeek
Llama-3.3 Nemotron Super 49B v1
DeepSeek-R1
Llama-3.3 Nemotron Super 49B v1