Qwen2.5-7B-Instruct vs gpt-oss-20b

Specs, VRAM requirements and download trends — updated 20 September 2026.

Qwen · A
Params
7.6 B
Context
32,768
30d
9.7 M
apache-2.0 · commercial OK
openai · B
Params
21.5 B
Context
131,072
30d
6.7 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct gpt-oss-20b
Parameters 7.6 B 21.5 B
Architecture Qwen2ForCausalLM GptOssForCausalLM
Context length 32,768 131,072
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1
Downloads 30d 9,726,568 6,708,152
Downloads all time 182.2 M 98.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2025-08-04

Download trend

Daily snapshots, last 55 days (28 Jul – 20 Sep)

12.3 M6.2 M
Qwen2.5-7B-Instruct gpt-oss-20b

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably
gpt-oss-20b · fp16 @ 128K ctx 82.4 GB / 24 GB
❌ Won’t fit

Adjacent comparisons