Comprehensive side-by-side LLM comparison
GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
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

GPT-4.1 mini
OpenAI
2025-04-14
Context window and performance specifications
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
Llama-3.3 Nemotron Super 49B
GPT-4.1 mini
Llama-3.3 Nemotron Super 49B
GPT-4.1 mini
Llama-3.3 Nemotron Super 49B