Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B leads with 13.7% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Overall, Llama-3.3 Nemotron Super 49B is the stronger choice for coding tasks.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
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.
1 month newer

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Llama 4 Maverick
Llama-3.3 Nemotron Super 49B
Performance comparison across key benchmark categories
Llama 4 Maverick
Llama-3.3 Nemotron Super 49B
Available providers and their performance metrics
Llama 4 Maverick
Together AI
Llama-3.3 Nemotron Super 49B
Llama 4 Maverick
Llama-3.3 Nemotron Super 49B
Llama 4 Maverick
Llama-3.3 Nemotron Super 49B