Comprehensive side-by-side LLM comparison
Nova 2 Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Amazon
Amazon Nova 2 Lite, released by Amazon Web Services on December 2, 2025, is a fast, cost-efficient reasoning model available on Amazon Bedrock with a 1M token context window enabling extended document, video, and image analysis. It features three extended thinking intensity levels, built-in code interpreter, web grounding tools, and native support for text, image, video, and document input. Nova 2 Lite targets cost-sensitive agentic applications, document analysis pipelines, and real-time workloads requiring multimodal reasoning.
11 months newer

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

Nova 2 Lite
Amazon
2025-12-02
Context window and performance specifications
Available providers and their performance metrics
Llama 3.1 Nemotron Nano 8B
Nova 2 Lite
AWS Bedrock
Llama 3.1 Nemotron Nano 8B
Nova 2 Lite
Llama 3.1 Nemotron Nano 8B
Nova 2 Lite