NVIDIA-Nemotron-3-Super-120B-A12B-BF16 vs c4ai-command-a-03-2025

Specs, VRAM requirements and download trends — updated 24 October 2026.

nvidia · A · Open weights
Params
123.6 B
Context
262,144
30d
978 K
CohereLabs · B · Open weights
Params
111.1 B
Context
—
30d
1 K
cc-by-nc-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification NVIDIA-Nemotron-3-Super-120B-A12B-BF16 c4ai-command-a-03-2025
Deployment Open weights Open weights · also via API
Parameters 123.6 B 111.1 B
Architecture NemotronHForCausalLM Cohere2ForCausalLM
Context length 262,144 256,000
Licence other cc-by-nc-4.0
Commercial use Unknown Not allowed
Languages 7 23
Downloads 30d 978,022 1,494
Downloads all time 7.1 M 126 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2026-03-10 2025-03-11
API input price / 1M tokens not on OpenRouter $2.50
API output price / 1M tokens not on OpenRouter $10.00
Est. cost per 1M input + 1M output tokens not on OpenRouter $12.50
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter 13.1
AA Coding Index not on OpenRouter 27.8
AA Agentic Index not on OpenRouter 1
Max output tokens not on OpenRouter 8,192
API providers not on OpenRouter 1
Tool calling not on OpenRouter No
Reasoning mode not on OpenRouter No

API cost

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

c4ai-command-a-03-2025 $12.50

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

1.3 M2 K
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 c4ai-command-a-03-2025

VRAM side by side

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

c4ai-command-a-03-2025 · fp16 261.5 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