Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B leads with 7.8% 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.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
3 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01
Average performance across 1 common benchmarks
Llama-3.3 Nemotron Super 49B
Qwen2.5-Coder 7B Instruct
Performance comparison across key benchmark categories
Llama-3.3 Nemotron Super 49B
Qwen2.5-Coder 7B Instruct
Available providers and their performance metrics
Llama-3.3 Nemotron Super 49B
Qwen2.5-Coder 7B Instruct
Llama-3.3 Nemotron Super 49B
Qwen2.5-Coder 7B Instruct