Qwen2.5-7B-Instruct vs Nemotron-3.5-Content-Safety

Specs, VRAM requirements and download trends — updated 25 October 2026.

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.1 M
apache-2.0 · commercial OK
nvidia · B · Open weights
Params
4.3 B
Context
—
30d
35 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct Nemotron-3.5-Content-Safety
Deployment Open weights · also via API Open weights · also via API
Parameters 7.6 B 4.3 B
Architecture Qwen2ForCausalLM Gemma3ForConditionalGeneration
Context length 32,768 131,072
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1 12
Downloads 30d 6,077,597 34,521
Downloads all time 190.2 M 348 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2026-05-22
API input price / 1M tokens $0.10 $0.20
API output price / 1M tokens $0.20 $0.20
Est. cost per 1M input + 1M output tokens $0.30 $0.40
Cached input / 1M tokens — —
AA Intelligence Index — —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 29,491 117,964
API providers 1 1
Tool calling Yes No
Reasoning mode No Yes

API cost

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

Qwen2.5-7B-Instruct $0.30
Nemotron-3.5-Content-Safety $0.40

Qwen2.5-7B-Instruct is 1.3× cheaper at list price.

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

12.3 M24 K
Qwen2.5-7B-Instruct Nemotron-3.5-Content-Safety

VRAM side by side

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

Nemotron-3.5-Content-Safety · fp16 10.6 GB / 24 GB
✅ Runs comfortably
Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons