Qwen2.5-Coder-14B-Instruct vs DeepSeek-R1-Distill-Qwen-32B
Specs, VRAM requirements and download trends — updated 4 August 2026.
Qwen · A · Open weights
Params
14.8 B
Context
32,768
30d
1.9 M
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 | Qwen2.5-Coder-14B-Instruct | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| Parameters | 14.8 B | 32.8 B |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 1,936,983 | 357,538 |
| Downloads all time | 20.0 M | 28.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-11-06 | 2025-01-20 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.5 M347 K
Qwen2.5-Coder-14B-Instruct
DeepSeek-R1-Distill-Qwen-32B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-Coder-14B-Instruct · fp16
35.2 GB / 24 GB
DeepSeek-R1-Distill-Qwen-32B · fp16 @ 128K ctx
151.2 GB / 24 GB