Compact · Aug 2025

gpt-oss-20b

Compact open-weight model from OpenAI — ultra-cheap, fits on a single GPU.

By OpenAI · Text · Apache 2.0

Context

128K tokens

Modality

Text

Architecture

MoE

License

Apache 2.0

Per 1M tokens $0.04 in · $0.20 out
Model details

Specs & substance

Developed by
OpenAI
Model family
gpt-oss
Use case
Compact
Modality
Text
Context window
128K tokens
Architecture
MoE
Version
20B
License
Apache 2.0
Pricing
$0.04 in · $0.20 out · $0.02 cache read
Released
Aug 2025
Endpoint
parasail-gpt-oss-20b

Compact open-weight model from OpenAI — ultra-cheap, fits on a single GPU.

gpt-oss-20b is part of the gpt-oss family by OpenAI, and sits in the compact category. It supports a 128K tokens context window and is built on a MoE architecture.

Key strengths: efficient, open-weight. Parasail serves gpt-oss-20b on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.

Integrate

Drop-in via the OpenAI SDK

Point any OpenAI-compatible client at Parasail and change the model name. That's it.

python parasail · gpt-oss-20b
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.parasail.io/v1"
)

response = client.chat.completions.create(
    model="parasail-gpt-oss-20b",
    messages=[
        {"role": "user", "content": "Hello, what can you do?"}
    ],
    stream=True,
    max_tokens=1000
)

for chunk in response:
    if chunk.choices and chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)
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