Qwen3-32B-AWQ vs DeepSeek-R1-Distill-Llama-70B
Specs, VRAM requirements and download trends — updated 1 August 2026.
deepseek-ai · B
Params
70.6 B
Context
131,072
30d
189 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B-AWQ | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| Parameters | 32.8 B | 70.6 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 811,171 | 189,344 |
| Downloads all time | 9.3 M | 5.8 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 56 days (28 Jul – 21 Sep)
2.0 M189 K
Qwen3-32B-AWQ
DeepSeek-R1-Distill-Llama-70B
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-Llama-70B · fp16 @ 128K ctx
325.0 GB / 24 GB