Qwen2.5-3B-Instruct vs Nemotron-3.5-Content-Safety

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

Qwen · A · Open weights
Params
3.1 B
Context
32,768
30d
3.7 M
nvidia · B · Open weights
Params
4.3 B
Context
—
30d
35 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-3B-Instruct Nemotron-3.5-Content-Safety
Deployment Open weights Open weights · also via API
Parameters 3.1 B 4.3 B
Architecture Qwen2ForCausalLM Gemma3ForConditionalGeneration
Context length 32,768 131,072
Licence other other
Commercial use Unknown Unknown
Languages 1 12
Downloads 30d 3,718,369 34,521
Downloads all time 124.5 M 348 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 2026-05-22
API input price / 1M tokens not on OpenRouter $0.20
API output price / 1M tokens not on OpenRouter $0.20
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.40
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 not on OpenRouter 117,964
API providers not on OpenRouter 1
Tool calling not on OpenRouter No
Reasoning mode not on OpenRouter Yes

API cost

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

Nemotron-3.5-Content-Safety $0.40

Download trend

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

7.6 M24 K
Qwen2.5-3B-Instruct Nemotron-3.5-Content-Safety

VRAM side by side

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

Qwen2.5-3B-Instruct · fp16 7.8 GB / 24 GB
✅ Runs comfortably
Nemotron-3.5-Content-Safety · fp16 10.6 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons