Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-4.5 Air is a lightweight variant from Zhipu AI's GLM-4 model family, designed for efficient deployments requiring lower inference cost while maintaining strong language understanding and generation capabilities. It targets cost-sensitive production workloads, API integrations, and applications where the full GLM-4.x series capacity exceeds requirements.
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.
6 months newer

Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06
GLM-4.5 Air
Zhipu AI
2025-07-28
Context window and performance specifications
Available providers and their performance metrics
GLM-4.5 Air
Zhipu AI
Llama 3.1 Nemotron Nano 8B
GLM-4.5 Air
Llama 3.1 Nemotron Nano 8B
GLM-4.5 Air
Llama 3.1 Nemotron Nano 8B