DeepSeek-OCR vs Qwen3.5-2B

Specs, VRAM requirements and download trends — updated 10 November 2026.

deepseek-ai · A · Open weights
Params
3.3 B
Context
8,192
30d
2.0 M
mit · commercial OK
Qwen · B · Open weights
Params
2.3 B
Context
—
30d
3.7 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-OCR Qwen3.5-2B
Parameters 3.3 B 2.3 B
Architecture DeepseekOCRForCausalLM Qwen3_5ForConditionalGeneration
Context length 8,192 —
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages 1 —
Downloads 30d 1,952,733 3,743,248
Downloads all time 38.7 M 22.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-10-17 2026-02-28

Download trend

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

4.9 M2.0 M
DeepSeek-OCR Qwen3.5-2B

VRAM side by side

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

Qwen3.5-2B · fp16 5.8 GB / 24 GB
✅ Runs comfortably
DeepSeek-OCR · fp16 8.3 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons