OpenAI: gpt-oss-safeguard-20b

Public pricingIntelligence 79/100Medium memory심층 추론도구 활용

OpenAI: gpt-oss-safeguard-20b은 추론과 문제 해결에 맞춘 텍스트 모델입니다. 깊은 추론과 계획、낮은 지연과 효율적 추론, 131K tokens의 컨텍스트, 저비용 특성을 결합해 reasoning, analysis, and hard problem solving에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.07/1M

Output

$0.30/1M

Cached

$0.04/1M

Batch

$0.02/1M

Calculate your gpt-oss-safeguard-20b bill.

Set your workload — see cost at your exact volume.

What would gpt-oss-safeguard-20b cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

gpt-oss-safeguard-20b at a glance.

Memory

131,072

tokens

Max reply

65,536

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

tiktoken-o200k

Released

Oct 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick gpt-oss-safeguard-20b

Multi-step reasoning, research agents, or hard math.
Agentic workflows that call tools or APIs.
High-volume workloads where unit cost matters.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

gpt-oss-safeguard-20b — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, gpt-oss-safeguard-20b costs roughly $18 per month. Input is $0.07 /1M tokens and output is $0.30 /1M tokens.

gpt-oss-safeguard-20b has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.

Beyond text generation, gpt-oss-safeguard-20b supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.

gpt-oss-safeguard-20b was released in October 2025, with training data cut off around October 2024.

Models in a similar class include GPT-5 Nano, gpt-oss-120b, gpt-oss-20b. The "Similar models" section below this FAQ links into each.

Still unsure?

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