Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron Nano 8B leads with 7.0% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Overall, Llama 3.1 Nemotron Nano 8B is the stronger choice for coding tasks.
NVIDIA
Llama-3.1-Nemotron-Nano-8B-v1 is an 8-billion-parameter model from NVIDIA, developed as a fine-tuned variant of Meta's Llama 3.1 8B using NVIDIA's Nemotron post-training methodology, which applies reinforcement learning and process reward modeling to enhance instruction-following and reasoning capability over the base model. The Nano designation marks it as the entry-level member of the Nemotron family, optimized for efficient inference on a single GPU while delivering meaningfully improved performance on instruction alignment and agentic tasks compared to standard Llama 3.1. Released open-weight on HuggingFace, it is designed for deployment in NVIDIA-accelerated environments and supports NVIDIA NIM for enterprise inference.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
2 months newer

Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Llama 3.1 Nemotron Nano 8B
Llama 4 Maverick
Performance comparison across key benchmark categories
Llama 3.1 Nemotron Nano 8B
Llama 4 Maverick
Available providers and their performance metrics
Llama 3.1 Nemotron Nano 8B
Llama 4 Maverick
Together AI
Llama 3.1 Nemotron Nano 8B
Llama 4 Maverick
Llama 3.1 Nemotron Nano 8B
Llama 4 Maverick