Comprehensive side-by-side LLM comparison
Llama 3.1 Nemotron 70B Instruct leads with 17.7% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Overall, Llama 3.1 Nemotron 70B Instruct is the stronger choice for coding tasks.
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). Released in 2024, it represents NVIDIA's latest advancement in AI technology.
12 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
GLM-4.6
Zhipu AI
2025-09-30
Context window and performance specifications
Average performance across 18 common benchmarks
GLM-4.6
Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Llama 3.1 Nemotron 70B Instruct
GLM-4.6
Llama 3.1 Nemotron 70B Instruct
GLM-4.6
Llama 3.1 Nemotron 70B Instruct