OpenAIactive

gpt-oss-safeguard-20b

Released at: October 29, 2025

API StatusAvailable for integration
Context Window131,072 tokens✓ verified today
Input Price / MTok$0.07✓ verified today
Output Price / MTok$0.30✓ verified today

Model Overview

OpenAI · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

gpt-oss-safeguard-20b by OpenAI — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

gpt-oss-safeguard-20b is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, gpt-oss-safeguard-20b represents a key architectural iteration in the OpenAI model family. First released in 2025-10-29, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 131,072 tokens (approximately 175 words), gpt-oss-safeguard-20b processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for gpt-oss-safeguard-20b based on verified provider metadata:

  • Model Name: gpt-oss-safeguard-20b
  • Developer / Provider: OpenAI
  • Context Window Capacity: 131,072 tokens (~175 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

gpt-oss-safeguard-20b undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for gpt-oss-safeguard-20b follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "gpt-oss-safeguard-20b",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), gpt-oss-safeguard-20b is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 131,072 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize gpt-oss-safeguard-20b for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for gpt-oss-safeguard-20b:

  • Input Token Cost: $0.07 per MTok
  • Output Token Cost: $0.30 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**gpt-oss-safeguard-20b**Provider Ecosystem Baseline
DeveloperOpenAIIndustry Average
Context Window131,072 tokens128,000 tokens
Input Price / MTok$0.07Variable
Output Price / MTok$0.30Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is gpt-oss-safeguard-20b's context window limit?§

A: gpt-oss-safeguard-20b supports an input context window of 131,072 tokens.

Q: What is the API pricing for gpt-oss-safeguard-20b?§

A: gpt-oss-safeguard-20b is priced at $0.07 per million input tokens and $0.30 per million output tokens.

Q: Is gpt-oss-safeguard-20b accessible via API?§

A: Yes, gpt-oss-safeguard-20b is available for programmatic integration.

Developer
OpenAI✓ verified today
Release Date
October 29, 2025✓ verified today
Context Window
131,072 tokens175 words✓ verified today
API Access
Publicly AvailableIntegrate via official API✓ verified today
Input Cost
$0.07per million tokens✓ verified today
Output Cost
$0.30per million tokens✓ verified today
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Vetted Benchmarks

MATH(estimated)Score: 56.2% (Top 47%)
MT-Bench(estimated)Score: 8.6 (Top 44%)
GPQA(estimated)Score: 41.6% (Top 43%)
HellaSwag(estimated)Score: 80.4% (Top 78%)
MMLU(estimated)Score: 80.8% (Top 54%)
HumanEval(estimated)Score: 79.0% (Top 54%)

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Originally published on llmdb.app

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