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Side-by-side model comparison

NVIDIA-Nemotron-3-Super-120B-A12B-BF16 vs Qwen3-4B-Instruct-2507

Compare benchmark score, parameter size, model family, and practical tradeoffs between these two Hugging Face LLM models.

Model A

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16

Benchmark score 98.50
Parameters 120.00B
Model family Other
Dataset status Available
Model B

Qwen/Qwen3-4B-Instruct-2507

Benchmark score 98.50
Parameters 4.00B
Model family Qwen
Dataset status Available

Metric Comparison

The table keeps the core specs visible for quick evaluation.

Live dataset
Metric NVIDIA-Nemotron-3-Super-120B-A12B-BF16 Qwen3-4B-Instruct-2507 Difference
Benchmark average score 98.50 98.50 Equal
Parameter size 120.00B 4.00B +116B (+2900%)
Model family Other Qwen Different

Performance Verdict

Based on the available leaderboard data, nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 has the stronger overall benchmark score.

  • nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is the stronger performer, scoring 98.50 on average compared to Qwen/Qwen3-4B-Instruct-2507's 98.50.
  • nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 is 2900% larger in parameter capacity than Qwen/Qwen3-4B-Instruct-2507 (120.00B vs 4.00B parameters).
  • nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 has more parameter capacity, which may contribute to its stronger benchmark score.

Integration & Implementation Guide

Learn how to load and execute these models programmatically in Python using Hugging Face's transformers library.

Python tutorial
Load Model A (NVIDIA-Nemotron-3-Super-120B-A12B-BF16) 
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16")
model = AutoModelForCausalLM.from_pretrained("nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16")
Load Model B (Qwen3-4B-Instruct-2507) 
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")

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