Qwen3-32B vs NVIDIA-Nemotron-3-Super-120B-A12B-BF16

Specs, VRAM requirements and download trends — updated 23 October 2026.

Qwen · A · Open weights
Params
32.8 B
Context
40,960
30d
2.8 M
apache-2.0 · commercial OK
nvidia · B · Open weights
Params
123.6 B
Context
262,144
30d
974 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-32B NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Deployment Open weights · also via API Open weights
Parameters 32.8 B 123.6 B
Architecture Qwen3ForCausalLM NemotronHForCausalLM
Context length 40,960 262,144
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 7
Downloads 30d 2,751,050 974,224
Downloads all time 60.6 M 7.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2026-03-10
API input price / 1M tokens $0.08 not on OpenRouter
API output price / 1M tokens $0.28 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.36 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index 7.3 not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 16,384 not on OpenRouter
API providers 3 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

Qwen3-32B $0.36

Download trend

Daily snapshots, last 88 days (28 Jul – 23 Oct)

10.1 M812 K
Qwen3-32B NVIDIA-Nemotron-3-Super-120B-A12B-BF16

VRAM side by side

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

Qwen3-32B · fp16 77.5 GB / 24 GB
❌ Won’t fit
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 · fp16 @ 256K ctx 865.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons