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 4 Maverick
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01

Llama 4 Maverick
Meta
2025-04-05
6 months newer
Performance Metrics
Context window and performance specifications

Llama 3.1 Nemotron 70B Instruct

Llama 4 Maverick
Average performance across 1 common benchmarks

Llama 3.1 Nemotron 70B Instruct

Llama 4 Maverick
Performance comparison across key benchmark categories

Llama 3.1 Nemotron 70B Instruct

Llama 4 Maverick
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 Nemotron 70B Instruct

Llama 4 Maverick
Sambanova
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Llama 3.1 Nemotron 70B Instruct

Llama 4 Maverick