Qwen2.5-7B-Instruct vs NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.0 M
apache-2.0 · commercial OK
nvidia · B · Open weights
Params
18.2 B
Context
262,144
30d
733 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4
Deployment Open weights · also via API Open weights
Parameters 7.6 B 18.2 B
Architecture Qwen2ForCausalLM NemotronHForCausalLM
Context length 32,768 262,144
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1 6
Downloads 30d 6,037,480 733,222
Downloads all time 194.0 M 7.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2025-12-20
API input price / 1M tokens $0.10 not on OpenRouter
API output price / 1M tokens $0.20 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.30 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 29,491 not on OpenRouter
API providers 1 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode No not on OpenRouter

API cost

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

Qwen2.5-7B-Instruct $0.30

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

12.3 M492 K
Qwen2.5-7B-Instruct NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4

VRAM side by side

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

Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably
NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 · fp16 @ 256K ctx 109.3 GB / 24 GB
❌ Won’t fit

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