Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B leads with 21.7% higher average benchmark score. Overall, Llama-3.3 Nemotron Super 49B is the stronger choice for coding tasks.
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.
Mistral AI
Mistral Small 3 is a 24-billion-parameter open-weight language model from Mistral AI, released in January 2025 as an update to the Mistral Small line with targeted improvements to instruction-following, multilingual reasoning, and structured output quality. Released under Apache 2.0, it was designed for deployment on a single high-VRAM GPU, continuing Mistral's focus on practical efficiency over maximum scale. The model became a widely-used option for teams building internal tooling, customer-facing applications, and local inference pipelines that needed strong general capability without the operational overhead of larger models.
1 month newer

Mistral Small 3 24B
Mistral AI
2025-01-30

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01
Average performance across 1 common benchmarks
Llama-3.3 Nemotron Super 49B
Mistral Small 3 24B
Performance comparison across key benchmark categories
Llama-3.3 Nemotron Super 49B
Mistral Small 3 24B
Available providers and their performance metrics
Llama-3.3 Nemotron Super 49B
Mistral Small 3 24B
Llama-3.3 Nemotron Super 49B
Mistral Small 3 24B