Qwen3.6-35B-A3B-FP8 vs deepseek-vl2-tiny

Specs, VRAM requirements and download trends — updated 28 July 2026.

Qwen · A · Open weights
Params
36.0 B
Context
—
30d
4.0 M
apache-2.0 · commercial OK
deepseek-ai · B · Open weights
Params
3.4 B
Context
—
30d
828 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.6-35B-A3B-FP8 deepseek-vl2-tiny
Parameters 36.0 B 3.4 B
Architecture Qwen3_5MoeForConditionalGeneration —
Context length — —
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 3,962,067 828,272
Downloads all time 49.4 M 6.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-04-15 2024-12-13

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

13.5 M828 K
Qwen3.6-35B-A3B-FP8 deepseek-vl2-tiny

VRAM side by side

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

deepseek-vl2-tiny · fp16 8.4 GB / 24 GB
✅ Runs comfortably
Qwen3.6-35B-A3B-FP8 · fp16 47.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons