Using gpt-oss-20b on GCP Vertex AI

Implementation guide · GPT-OSS · OpenAI

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GCP Vertex AI exposes gpt-oss-20b through model ID gpt-oss-20b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at GCP Vertex AI and generate an API key.
  2. 2
    Use the GCP Vertex AI SDK or REST API to call gpt-oss-20b — see the documentation for request format.
  3. 3
    You'll be billed $0.07/1M input, $0.25/1M output tokens. See full pricing.

Code Examples

Install
pip install google-cloud-aiplatform
API key
GOOGLE_CLOUD_PROJECT
Model ID
gpt-oss-20b

For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".

import os
import vertexai
from vertexai.generative_models import GenerativeModel

# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("gpt-oss-20b")
response = model.generate_content("Hello")
print(response.text)

Pricing on GCP Vertex AI

TypePrice (per 1M)
Input tokens$0.07
Output tokens$0.25

Capabilities

JSON / Tool useStructured Outputs

About gpt-oss-20b

OpenAI open-weight model with 20 billion parameters. Lightweight, efficient text-only model with reasoning and function calling. Free for self-hosting. Released August 5, 2025.

Model Specs

Released2025-08-05
Parameters20B
Context131k
ArchitectureDecoder Only
Knowledge cutoff2025-08

Provider

GCP Vertex AI

Google Cloud Platform (GCP)

Mountain View, California, United States