Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-4.6, released by Zhipu AI in September 2025, is a large language model with approximately 357 billion parameters from the GLM-4 family, featuring an expanded 200K token context window. It supports strong mathematical reasoning, coding, and agentic orchestration tasks. GLM-4.6 targets enterprise-ready open-source deployments under an MIT license, with availability through Zhipu AI's Z.ai platform.
NVIDIA
Llama-3.3-Nemotron-Super-49B-v1 is a 49-billion-parameter model from NVIDIA, fine-tuned from Meta's Llama 3.3 using NVIDIA's Nemotron post-training pipeline that combines supervised fine-tuning with reinforcement learning to enhance reasoning, instruction alignment, and complex problem-solving. The Super tier in the Nemotron family represents a mid-range capability level — positioned above the Nano series and below the Ultra 253B flagship — offering a balance between high-quality outputs and manageable inference infrastructure requirements. Released open-weight on HuggingFace with NVIDIA NIM support, it targets teams with multi-GPU setups who need strong reasoning capability without the scale of the Ultra model.
7 months newer

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01
GLM-4.6
Zhipu AI
2025-09-30
Context window and performance specifications
Available providers and their performance metrics
GLM-4.6
Zhipu AI
Llama-3.3 Nemotron Super 49B
GLM-4.6
Llama-3.3 Nemotron Super 49B
GLM-4.6
Llama-3.3 Nemotron Super 49B