Nemotron 3 Super
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
25.7
AA Index
Agentic
8.8
AA Index
Intelligence Index - Nemotron 3 Super vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Agentic Index comparison
Benchmark data from Artificial Analysis · updated 2026-08-10.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| GPQA | 80 |
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
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Deep dive
Notes, sources, and the full write-up
Nemotron 3 Super is a 67.2B-parameter other model from NVIDIA. It scores 25.7 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 39 GB of VRAM, placing it in the 24–48 GB hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - Nemotron 3 Super vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| Nemotron 3 Super | 25.7 | - | 80 |
| Claude Opus 5 (max) | 63.1 | - | 93.2 |
| Claude Fable 5 (with fallback) | 62.1 | - | 92.6 |
| GPT-5.6 Sol (max) | 60.9 | - | 94.1 |
| Qwen3.8 Max | 58.1 | - | 92.7 |
| Muse Spark 1.2 (xhigh) | 56.8 | - | 90.4 |
Source: Artificial Analysis (2026-08-08).
Popularity
Nemotron 3 Super has 2,742,676 downloads in the last month on HuggingFace and 415 likes.
Frequently asked
Quick answers to common questions
How much VRAM does Nemotron 3 Super need?
Nemotron 3 Super with 67.2B parameters needs approximately 39 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Nemotron 3 Super better than other nvidia models?
Nemotron 3 Super has 67.2B parameters with 262,144 context - a strong choice for general use.
What license is Nemotron 3 Super under?
Nemotron 3 Super is released under the other license, making it suitable for most commercial and personal projects.
What hardware runs Nemotron 3 Super well?
With 67.2B parameters, Nemotron 3 Super requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Nemotron 3 Super?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~48 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can Nemotron 3 Super's context window handle?
Nemotron 3 Super supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with Nemotron 3 Super?
Nemotron 3 Super competes with other 34B–101B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
Similar by size
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