Qwen3-8B vs DeepSeek-V2-Lite-Chat

Specs, VRAM requirements and download trends — updated 25 October 2026.

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

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-8B DeepSeek-V2-Lite-Chat
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 8,164,793 203,501
Downloads all time 133.8 M 7.9 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 90 days (28 Jul – 25 Oct)

16.6 M204 K
Qwen3-8B DeepSeek-V2-Lite-Chat

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-Chat · fp16 @ 160K ctx 82.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons