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GPT OSS Safeguard 120B
GPT OSS Safeguard 120B

Open WeightsChat & ReasoningtextUpdated October 29, 2025
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

GPT OSS Safeguard 120B

📌 Model Overview

Safety model for policy screening, moderation, and risk-aware routing workflows

GPT OSS Safeguard 120B is a Open Weights model developed by OpenAI, released on 2025-10-29. It is designed primarily for Chat Reasoning workloads. Featuring a 131K tokens context window and 120B parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window131K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Chat Reasoning
Deploymentself-hostable, api-only
Modalitytext
Max OutputMax Output: 33K tokens
Native reasoning capabilityNative reasoning capability
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabOpenAI
Release Date2025-10-29
Model TypeOpen Weights
Parameters120B
Context Window131K tokens
Licenseproprietary
Model Familygpt-oss

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$0.15
1M output tokens$0.6

🔗 Resources & Links

Specification Table

📜 License & Usage

This model is governed by the proprietary license. Please check official developer guidelines before commercial deployment.

Key Features

Max Output: 33K tokens

Feature 01

Native reasoning capability

Feature 02

Tool / function calling support

Feature 03

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Verified Sources

Tags

reasoningtool-callingstructured-outputopen-weights

Model Specs

open-weights

Parameters

120B

Context Window

131K tokens

License

proprietary

Deployment

self-hostableapi-only

Pricing

  • 1M input tokens$0.15
  • 1M output tokens$0.6

as of 2026-07-26

Resources & Links

Lineage

Model Family

Part of the gpt-oss family

Curator Notes

Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.

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