Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 11.5% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Overall, Llama-3.3 Nemotron Super 49B v1 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-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
6 months newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
GLM-4.6
Zhipu AI
2025-09-30
Context window and performance specifications
Average performance across 12 common benchmarks
GLM-4.6
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Llama-3.3 Nemotron Super 49B v1
GLM-4.6
Llama-3.3 Nemotron Super 49B v1
GLM-4.6
Llama-3.3 Nemotron Super 49B v1