OpenAI open-source 20B model
GPT OSS 20B delivers exceptional performance for developers requiring high-fidelity reasoning within a compact parameter footprint. Built on the renowned GPT family, this 20-billion parameter model operates in FP16 precision, ensuring balanced speed and accuracy for production workflows. Its standout feature is the massive 128,000-token context window, allowing seamless processing of extensive documentation, long-form codebases, or multi-turn conversation histories without losing coherence. Whether you are building sophisticated chatbots or analyzing large datasets, this model maintains consistent reliability across diverse linguistic tasks.
Accessible via the starter tier on LLM Resayil, GPT OSS 20B integrates smoothly into existing pipelines with minimal overhead. The permissive MIT license grants you full freedom to modify, distribute, and commercialize applications built upon this foundation without restrictive legal barriers. While the credit multiplier reflects its advanced capabilities, the efficiency of the architecture ensures cost-effective scaling for enterprise deployments. Choose this model when you need open-source flexibility combined with the robust conversational abilities expected from top-tier AI systems.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="gpt-oss:20b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)import anthropic
client = anthropic.Anthropic(
base_url="https://llmapi.resayil.io/v1",
api_key="YOUR_API_KEY"
)
message = client.messages.create(
model="gpt-oss:20b",
max_tokens=1024,
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(message.content[0].text)const response = await fetch(
"https://llmapi.resayil.io/v1/chat/completions",
{
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": "Bearer YOUR_API_KEY"
},
body: JSON.stringify({
model: "gpt-oss:20b",
messages: [
{ role: "user", content: "Hello!" }
]
})
}
);
const data = await response.json();
console.log(data.choices[0].message.content);curl https://llmapi.resayil.io/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "gpt-oss:20b",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'