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

Specs, VRAM requirements and download trends — updated 25 October 2026.

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.1 M
apache-2.0 · commercial OK
openai · B · Open weights
Params
21.5 B
Context
131,072
30d
19 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct gpt-oss-safeguard-20b
Deployment Open weights · also via API Open weights · also via API
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 6,077,597 18,787
Downloads all time 190.2 M 808 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2025-09-18
API input price / 1M tokens $0.10 $0.075
API output price / 1M tokens $0.20 $0.30
Est. cost per 1M input + 1M output tokens $0.30 $0.38
Cached input / 1M tokens — $0.038
AA Intelligence Index — —
AA Coding Index — —
AA Agentic Index — —
Max output tokens 29,491 65,536
API providers 1 1
Tool calling Yes Yes
Reasoning mode No Yes

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

Qwen2.5-7B-Instruct $0.30
gpt-oss-safeguard-20b $0.38

Qwen2.5-7B-Instruct is 1.2× cheaper at list price.

Download trend

Daily snapshots, last 90 days (28 Jul – 25 Oct)

12.3 M19 K
Qwen2.5-7B-Instruct gpt-oss-safeguard-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-safeguard-20b · fp16 @ 128K ctx 67.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons