Qwen3-8B vs DeepSeek-R1-Distill-Qwen-7B
Specs, VRAM requirements and download trends — updated 10 November 2026.
deepseek-ai · B · Open weights
Params
7.6 B
Context
131,072
30d
322 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-8B | DeepSeek-R1-Distill-Qwen-7B |
|---|---|---|
| Parameters | 8.2 B | 7.6 B |
| Architecture | Qwen3ForCausalLM | Qwen2ForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 6,837,564 | 321,610 |
| Downloads all time | 137.6 M | 15.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2025-01-20 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
16.4 M245 K
Qwen3-8B
DeepSeek-R1-Distill-Qwen-7B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-8B · fp16
19.7 GB / 24 GB
DeepSeek-R1-Distill-Qwen-7B · fp16 @ 128K ctx
35.5 GB / 24 GB