Comprehensive side-by-side LLM comparison
o4 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
1 month newer

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

o4 mini
OpenAI
2025-04-16
Context window and performance specifications
Available providers and their performance metrics
Llama-3.3 Nemotron Super 49B
o4 mini
OpenAI
Llama-3.3 Nemotron Super 49B
o4 mini
Llama-3.3 Nemotron Super 49B
o4 mini