gpt-oss-20b vs NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

Specs, VRAM requirements and download trends — updated 6 August 2026.

openai · A
Params
21.5 B
Context
131,072
30d
8.6 M
apache-2.0 · commercial OK
nvidia · B
Params
31.6 B
Context
262,144
30d
931 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification gpt-oss-20b NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Parameters 21.5 B 31.6 B
Architecture GptOssForCausalLM NemotronHForCausalLM
Context length 131,072 262,144
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 6
Downloads 30d 8,616,555 930,685
Downloads all time 87.8 M 8.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-08-04 2025-12-04

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

8.6 M913 K
gpt-oss-20b NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

gpt-oss-20b · fp16 @ 128K ctx 82.4 GB / 24 GB
❌ Won’t fit
NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 · fp16 @ 256K ctx 221.6 GB / 24 GB
❌ Won’t fit

Adjacent comparisons