Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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 3.2 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 11B Instruct
Meta
2024-09-25
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
6 days newer
Performance Metrics
Context window and performance specifications
Llama 3.1 Nemotron 70B Instruct
Llama 3.2 11B Instruct
Average performance across 1 common benchmarks
Llama 3.1 Nemotron 70B Instruct
Llama 3.2 11B Instruct
Performance comparison across key benchmark categories
Llama 3.1 Nemotron 70B Instruct
Llama 3.2 11B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 Nemotron 70B Instruct
Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock
Llama 3.1 Nemotron 70B Instruct
Llama 3.2 11B Instruct