gpt-oss-20b vs Qwen2.5-Coder-14B-Instruct
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt-oss-20b | Qwen2.5-Coder-14B-Instruct |
|---|---|---|
| Parameters | 21.5 B | 14.8 B |
| Architecture | GptOssForCausalLM | Qwen2ForCausalLM |
| Context length | 131,072 | 32,768 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 1 |
| Downloads 30d | 8,616,555 | 2,982,465 |
| Downloads all time | 87.8 M | 13.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-08-04 | 2024-11-06 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
8.6 M2.9 M
gpt-oss-20b
Qwen2.5-Coder-14B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-Coder-14B-Instruct · fp16
35.2 GB / 24 GB
gpt-oss-20b · fp16 @ 128K ctx
82.4 GB / 24 GB