Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B leads with 13.1% higher average benchmark score. Overall, Llama-3.3 Nemotron Super 49B is the stronger choice for coding tasks.
Mistral AI
Codestral is a 22-billion-parameter code-specialized model from Mistral AI, released in May 2024 as the company's first dedicated coding model, trained with focus on fill-in-the-middle (FIM) completion, code generation, and repair across 80+ programming languages. Unlike Mistral's general-purpose Apache 2.0 models, Codestral was released under a separate non-production research license, reflecting its positioning as a professional coding tool requiring commercial API access for production deployment. Its FIM support made it particularly valued for IDE integrations and code completion tools that need to insert code within existing contexts rather than only appending to the end.
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.
9 months newer

Codestral 22B
Mistral AI
2024-05-29

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01
Average performance across 1 common benchmarks
Codestral 22B
Llama-3.3 Nemotron Super 49B
Performance comparison across key benchmark categories
Codestral 22B
Llama-3.3 Nemotron Super 49B
Available providers and their performance metrics
Codestral 22B
Llama-3.3 Nemotron Super 49B
Codestral 22B
Llama-3.3 Nemotron Super 49B