Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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 3.1 Nemotron 70B Instruct
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
12 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.2-Exp
Llama 3.1 Nemotron 70B Instruct
Average performance across 25 common benchmarks
DeepSeek-V3.2-Exp
Llama 3.1 Nemotron 70B Instruct
Performance comparison across key benchmark categories
DeepSeek-V3.2-Exp
Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Llama 3.1 Nemotron 70B Instruct
DeepSeek-V3.2-Exp
Llama 3.1 Nemotron 70B Instruct