Qwen2.5-7B-Instruct vs Nemotron-Labs-Diffusion-8B

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
8.5 B
Context
262,144
30d
204 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct Nemotron-Labs-Diffusion-8B
Deployment Open weights · also via API Open weights
Parameters 7.6 B 8.5 B
Architecture Qwen2ForCausalLM NemotronLabsDiffusionModel
Context length 32,768 262,144
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1 —
Downloads 30d 6,077,597 204,433
Downloads all time 190.2 M 565 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2026-03-18
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 (28 Jul – 25 Oct)

12.3 M176 K
Qwen2.5-7B-Instruct Nemotron-Labs-Diffusion-8B

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
Nemotron-Labs-Diffusion-8B · fp16 @ 256K ctx 60.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons