Model Library/OpenAI GPT OSS 120B
OpenAI

OpenAI GPT OSS 120B

openai/gpt-oss-120b
by OpenAI
Input price
$0.05/ M tokens
Output price
$0.25/ M tokens
Context window
128Ktokens
Max output
32Ktokens

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.

Funktionen

Serverless API

Dokumentation

openai/gpt-oss-120b is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

On-Demand-Bereitstellungen

Dokumentation

On-demand deployments allow you to use openai/gpt-oss-120b on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.

Verfügbare Serverless

Abfragen sofort ausführen, nur für die Nutzung bezahlen

Eingabe$0.05 / M Tokens
Ausgabe$0.25 / M Tokens
  1. API-Schlüssel erhalten

    Registrieren Sie sich und erstellen Sie einen Schlüssel, um den Code unten auszuführen. Die API ist OpenAI-kompatibel.

  2. Make your first request

    The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

    Base URL
    https://api.novita.ai/openai
    Model ID
    openai/gpt-oss-120b
    API Endpoint
    chat/completionscompletionsbatch-api
    1from openai import OpenAI
    2
    3client = OpenAI(
    4    api_key="<Your API Key>",
    5    base_url="https://api.novita.ai/openai"
    6)
    7
    8response = client.chat.completions.create(
    9    model="openai/gpt-oss-120b",
    10    messages=[
    11        {"role": "system", "content": "You are a helpful assistant."},
    12        {"role": "user", "content": "Hello, how are you?"}
    13    ],
    14    max_tokens=32768,
    15    temperature=0.7
    16)
    17
    18print(response.choices[0].message.content)