Qwen3-32B-AWQ vs DeepSeek-R1-Distill-Qwen-32B
Specs, VRAM requirements and download trends — updated 1 August 2026.
Qwen · A · Open weights
Params
32.8 B
Context
40,960
30d
222 K
apache-2.0 · commercial OK
deepseek-ai · B · Open weights
Params
32.8 B
Context
131,072
30d
358 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B-AWQ | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| Parameters | 32.8 B | 32.8 B |
| Architecture | Qwen3ForCausalLM | Qwen2ForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 222,442 | 357,538 |
| Downloads all time | 10.2 M | 28.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-05-01 | 2025-01-20 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.0 M222 K
Qwen3-32B-AWQ
DeepSeek-R1-Distill-Qwen-32B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-32B-AWQ · fp16
26.7 GB / 24 GB
DeepSeek-R1-Distill-Qwen-32B · fp16 @ 128K ctx
151.2 GB / 24 GB