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-3.1-Nemotron-Ultra-253B-v1 is a 253-billion-parameter model from NVIDIA, derived from Meta's Llama 3.1 405B using neural architecture search (NAS) compression combined with NVIDIA's Nemotron post-training pipeline, which recovers and exceeds the base model's capability after structural compression. Released in April 2025, it supports toggling between a standard instruction mode and an extended reasoning mode via system prompt, allowing the same model to handle both rapid responses and deliberate chain-of-thought tasks. It is the flagship of the Nemotron family, available open-weight on HuggingFace and through NVIDIA NIM for enterprise inference.
7 days newer

Llama-3.1 Nemotron Ultra 253B
NVIDIA
2025-04-07

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-3.1 Nemotron Ultra 253B
GPT-4.1 mini
Llama-3.1 Nemotron Ultra 253B
GPT-4.1 mini
Llama-3.1 Nemotron Ultra 253B