gpt-oss-20b vs Qwen2.5-7B-Instruct-1M

Specs, VRAM requirements and download trends — updated 10 November 2026.

openai · A · Open weights
Params
21.5 B
Context
131,072
30d
5.8 M
apache-2.0 · commercial OK
Qwen · B · Open weights
Params
7.6 B
Context
1,010,000
30d
197 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification gpt-oss-20b Qwen2.5-7B-Instruct-1M
Deployment Open weights · also via API Open weights
Parameters 21.5 B 7.6 B
Architecture GptOssForCausalLM Qwen2ForCausalLM
Context length 131,072 1,010,000
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 1
Downloads 30d 5,830,063 197,266
Downloads all time 108.5 M 10.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-08-04 2025-01-23
API input price / 1M tokens $0.03 not on OpenRouter
API output price / 1M tokens $0.13 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.16 not on OpenRouter
Cached input / 1M tokens $0.03 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index 20.7 not on OpenRouter
AA Agentic Index 1.2 not on OpenRouter
Max output tokens 117,964 not on OpenRouter
API providers 10 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

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

gpt-oss-20b $0.16

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

8.1 M173 K
gpt-oss-20b Qwen2.5-7B-Instruct-1M

VRAM side by side

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

gpt-oss-20b · fp16 @ 128K ctx 82.4 GB / 24 GB
❌ Won’t fit
Qwen2.5-7B-Instruct-1M · fp16 @ 986K ctx 158.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons