Qwen3-8B vs Nemotron-3.5-Content-Safety

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

Qwen · A · Open weights
Params
8.2 B
Context
40,960
30d
8.2 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 Qwen3-8B Nemotron-3.5-Content-Safety
Deployment Open weights Open weights · also via API
Parameters 8.2 B 4.3 B
Architecture Qwen3ForCausalLM Gemma3ForConditionalGeneration
Context length 40,960 131,072
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 12
Downloads 30d 8,164,793 34,521
Downloads all time 133.8 M 348 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 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)

16.6 M24 K
Qwen3-8B 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
Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context

Adjacent comparisons