Qwen2.5-7B-Instruct vs UnslopNemo-12B-v4.1

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
TheDrummer · B · Open weights
Params
12.2 B
Context
1,024,000
30d
2 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct UnslopNemo-12B-v4.1
Deployment Open weights · also via API Open weights · also via API
Parameters 7.6 B 12.2 B
Architecture Qwen2ForCausalLM MistralForCausalLM
Context length 32,768 1,024,000
Licence apache-2.0 —
Commercial use Allowed Unknown
Languages 1 —
Downloads 30d 6,077,597 1,783
Downloads all time 190.2 M 261 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2024-10-23
API input price / 1M tokens $0.10 $0.40
API output price / 1M tokens $0.20 $0.40
Est. cost per 1M input + 1M output tokens $0.30 $0.80
Cached input / 1M tokens — —
AA Intelligence Index — —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 29,491 819,200
API providers 1 1
Tool calling Yes No
Reasoning mode No No

API cost

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

Qwen2.5-7B-Instruct $0.30
UnslopNemo-12B-v4.1 $0.80

Qwen2.5-7B-Instruct is 2.7× cheaper at list price.

Download trend

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

12.3 M2 K
Qwen2.5-7B-Instruct UnslopNemo-12B-v4.1

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
UnslopNemo-12B-v4.1 · fp16 @ 1000K ctx 257.1 GB / 24 GB
❌ Won’t fit

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