Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Mistral AI
Devstral 2, released by Mistral AI on December 9, 2025, is a 123 billion parameter dense transformer model specifically designed for software engineering tasks. It features a 256K token context window and achieved 72.2% on SWE-bench Verified at release, making it a competitive open-weight option for automated coding and agentic development. Devstral 2 targets code generation, multi-file software engineering, and agentic development workflows under a modified MIT 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.
9 months newer

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

Devstral-2-123B
Mistral AI
2025-12-09
Context window and performance specifications
Available providers and their performance metrics
Devstral-2-123B
OpenRouter
Llama-3.3 Nemotron Super 49B
Devstral-2-123B
Llama-3.3 Nemotron Super 49B
Devstral-2-123B
Llama-3.3 Nemotron Super 49B