Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
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.
1 year newer

Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06
GLM 5
Zhipu AI
2026-02-11
Context window and performance specifications
Available providers and their performance metrics
GLM 5
Zhipu AI
Llama 3.1 Nemotron Nano 8B
GLM 5
Llama 3.1 Nemotron Nano 8B
GLM 5
Llama 3.1 Nemotron Nano 8B