Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V2.5
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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-V2.5
DeepSeek
2024-05-08
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
10 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V2.5
Llama-3.3 Nemotron Super 49B v1
Average performance across 2 common benchmarks
DeepSeek-V2.5
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
DeepSeek-V2.5
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-V2.5
Hyperbolic
DeepInfra
DeepSeek
Llama-3.3 Nemotron Super 49B v1
DeepSeek-V2.5
Llama-3.3 Nemotron Super 49B v1