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gpt-oss-safeguard-20b

gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust... Built by OpenAI.

Prices updated

Input price

$0.07

per 1M tokens · Standard

Output price

$0.30

per 1M tokens · Standard

Input limit

131K

tokens

Output limit

66K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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gpt-oss-safeguard-20b price history

2 price records since 9/25/2026

gpt-oss-safeguard-20b cost calculator

Input20M tokens
Output5M tokens

$3.00/month

Standard pricing

    Overview

    What is gpt-oss-safeguard-20b?

    gpt-oss-safeguard-20b is a text & reasoning model from OpenAI. gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust... Its 131K context window and $0.07 input price make it a candidate for cost-sensitive, high-throughput applications.

    Content workflowsClassification

    Rates

    gpt-oss-safeguard-20b pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.07

    Per 1M tokens

    Cached input · Standard

    $0.04

    Per 1M tokens

    Capabilities

    gpt-oss-safeguard-20b Tools

    Tools available when using gpt-oss-safeguard-20b through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Supported

    JSON mode

    Supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.07 per million tokens suits high-volume workloads.
    • A 131K context window covers most focused application workflows.
    • Supports text & reasoning workloads in one model.

    Limitations

    • Generated tokens cost 4× more than input tokens, which matters for verbose responses.
    • The 131K context window is smaller than several long-context alternatives.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about gpt-oss-safeguard-20b

    gpt-oss-safeguard-20b is a text & reasoning model from OpenAI. gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...