Qwen3-1.7B vs DeepSeek-R1-Distill-Qwen-1.5B
Specs, VRAM requirements and download trends — updated 6 August 2026.
deepseek-ai · B
Params
1.8 B
Context
131,072
30d
619 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-1.7B | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| Parameters | 2.0 B | 1.8 B |
| Architecture | Qwen3ForCausalLM | Qwen2ForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 7,765,125 | 619,077 |
| Downloads all time | 56.3 M | 20.4 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 10 days (28 Jul – 6 Aug)
7.8 M589 K
Qwen3-1.7B
DeepSeek-R1-Distill-Qwen-1.5B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-1.7B · fp16
5.3 GB / 24 GB
DeepSeek-R1-Distill-Qwen-1.5B · fp16 @ 128K ctx
8.7 GB / 24 GB