gpt-oss-20b vs Qwen2.5-Coder-32B-Instruct

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
32.8 B
Context
32,768
30d
548 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification gpt-oss-20b Qwen2.5-Coder-32B-Instruct
Deployment Open weights · also via API Open weights · also via API
Parameters 21.5 B 32.8 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 5,830,063 547,542
Downloads all time 108.5 M 14.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-08-04 2024-11-06
API input price / 1M tokens $0.03 $0.66
API output price / 1M tokens $0.13 $1.00
Est. cost per 1M input + 1M output tokens $0.16 $1.66
Cached input / 1M tokens $0.03 —
AA Intelligence Index — —
AA Coding Index 20.7 —
AA Agentic Index 1.2 —
Max output tokens 117,964 29,491
API providers 10 1
Tool calling Yes No
Reasoning mode Yes No

API cost

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

gpt-oss-20b $0.16
Qwen2.5-Coder-32B-Instruct $1.66

gpt-oss-20b is 10.4× cheaper at list price.

Download trend

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

8.1 M452 K
gpt-oss-20b Qwen2.5-Coder-32B-Instruct

VRAM side by side

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

Qwen2.5-Coder-32B-Instruct · fp16 77.5 GB / 24 GB
❌ Won’t fit
gpt-oss-20b · fp16 @ 128K ctx 82.4 GB / 24 GB
❌ Won’t fit

Adjacent comparisons