Qwen3-8B vs DeepSeek-V2-Lite

Specs, VRAM requirements and download trends — updated 21 September 2026.

Qwen · A
Params
8.2 B
Context
40,960
30d
12.9 M
apache-2.0 · commercial OK
deepseek-ai · B
Params
15.7 B
Context
163,840
30d
304 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B DeepSeek-V2-Lite
Parameters 8.2 B 15.7 B
Architecture Qwen3ForCausalLM DeepseekV2ForCausalLM
Context length 40,960 163,840
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages
Downloads 30d 12,880,320 304,131
Downloads all time 124.0 M 5.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2024-05-15

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

16.6 M304 K
Qwen3-8B DeepSeek-V2-Lite

VRAM side by side

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

Qwen3-8B · fp16 19.7 GB / 24 GB
⚠️ Tight — reduce context
DeepSeek-V2-Lite · fp16 @ 160K ctx 82.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons