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gpt-oss-safeguard-20b

OpenAIhuggingface.co/openai/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...

Open in Graph
data quality70

Updated 6 h ago · first seen 11 Sept 2026

model_01M294WW9KM7CQ555DQNXZEDRK

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 8 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Providers & Pricing2

All offers in the price terminal →
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
GroqCloudopenai/gpt-oss-safeguard-20b$0.075$0.30——131.1K6 h agoconsole.groq.comT1
OpenAI APIopenai/gpt-oss-safeguard-20b$0.075$0.30$0.037—131.1K4 h agoopenrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of gpt-oss-safeguard-20b$0$0.10$0.20$0.30$0.40Sept 26Sept 26Sept 26OpenAI API: first observed → $0.30 · 11 Sept 2026GroqCloud: first observed → $0.30 · 11 Sept 2026
  • OpenAI API
  • GroqCloud
  • GroqCloudfirst observed $0.3011 Sept 2026
  • OpenAI APIfirst observed $0.3011 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of gpt-oss-safeguard-20b$0$0.02$0.04$0.06$0.08$0.10Sept 26Sept 26Sept 26OpenAI API: first observed → $0.075 · 11 Sept 2026GroqCloud: first observed → $0.075 · 11 Sept 2026
  • OpenAI API
  • GroqCloud
  • GroqCloudfirst observed $0.07511 Sept 2026
  • OpenAI APIfirst observed $0.07511 Sept 2026

Hardware fit37

Estimated

37 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—12.9 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—12.9 GB est.Yes
Apple M2 Ultra4bit—12.9 GB est.Yes
Apple M1 Ultra4bit—12.9 GB est.Yes
Apple M3 Max4bit—12.9 GB est.Yes
Apple M4 Max4bit—12.9 GB est.Yes
Mac Studio (Apple M5 Max)4bit—12.9 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—12.9 GB est.Yes
Apple M2 Max4bit—12.9 GB est.Yes
Apple M1 Max4bit—12.9 GB est.Yes
Apple M4 Pro4bit—12.9 GB est.Yes
Mac mini (Apple M5 Pro)4bit—12.9 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—12.9 GB est.Yes
Apple M3 Pro4bit—12.9 GB est.Yes
Apple M1 Pro4bit—12.9 GB est.Yes
Apple M2 Pro4bit—12.9 GB est.Yes
Apple M44bit—12.9 GB est.Yes
iMac (Apple M4)4bit—12.9 GB est.Yes
Mac mini (Apple M6)4bit—12.9 GB est.Yes
MacBook Air (Apple M5)4bit—12.9 GB est.Yes
MacBook Pro (Apple M5)4bit—12.9 GB est.Yes
Apple M24bit—12.9 GB est.Yes
Apple M34bit—12.9 GB est.Yes
Apple M14bit—12.9 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB12.9 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB12.9 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB12.9 GB est.Yes
NVIDIA A100 80GB4bit80 GB12.9 GB est.Yes
NVIDIA H100 SXM4bit80 GB12.9 GB est.Yes
NVIDIA H100 NVL4bit94 GB12.9 GB est.Yes
NVIDIA DGX Spark4bit128 GB12.9 GB est.Yes
NVIDIA H2004bit141 GB12.9 GB est.Yes
NVIDIA H200 NVL4bit141 GB12.9 GB est.Yes
NVIDIA B2004bit180 GB12.9 GB est.Yes
AMD Instinct MI300X4bit192 GB12.9 GB est.Yes
AMD Instinct MI325X4bit256 GB12.9 GB est.Yes
NVIDIA DGX B2004bit1,440 GB12.9 GB est.Yes
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
ANCESTORS 1gpt-oss-20b20.9Bgpt-oss-20b — 20.9Bgpt-oss-safeguard-20b21.5B params · this modelgpt-oss-safeguard-20b — 21.5B params · this model

Papers1

Timeline5

Full timeline →

Change history36

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

gpt-oss-safeguard-20b was not yet in AI Atlas on 12 Mar 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
36 claims · 34 properties

Release daterelease_date3

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ValueValid from → toStatusSourceConfidenceExtractor
29 Oct 2025 → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic
18 Sept 2025 → supersededHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
29 Oct 2025 → supersededOpenRouter public model & pricing listingT2mediumdeterministic

Opennessopenness1

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ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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apache-2.0 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
GptOssForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
21.5B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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ValueValid from → toStatusSourceConfidenceExtractor
131.1K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Max outputmax_output_tokens1

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ValueValid from → toStatusSourceConfidenceExtractor
65.5K tokens → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Modalitiesmodalities1

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ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Input modalitiesmodalities_input1

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text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Output modalitiesmodalities_output1

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text → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tokenizertokenizer1

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GPT → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Base modelbase_model1

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ValueValid from → toStatusSourceConfidenceExtractor
openai/gpt-oss-20b → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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ValueValid from → toStatusSourceConfidenceExtractor
13.8 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
openai/gpt-oss-safeguard-20b → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/openai/gpt-oss-safeguard-20b → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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63,577 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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257 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Descriptiondescription1

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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... → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Gatedgated1

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ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Groq model idgroq_model_id1

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ValueValid from → toStatusSourceConfidenceExtractor
openai/gpt-oss-safeguard-20b → currentcurrentGroq — docs & pricingT1highdeterministic

Groq statusgroq_status1

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ValueValid from → toStatusSourceConfidenceExtractor
preview → currentcurrentGroq — docs & pricingT1highdeterministic

Hf inference providershf_inference_providers1

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ValueValid from → toStatusSourceConfidenceExtractor
featherless-ai, groq → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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2026-01-14T18:38:05+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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766,669 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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gpt_oss → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

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ValueValid from → toStatusSourceConfidenceExtractor
openai/gpt-oss-safeguard-20b → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning1

Claim history for Reasoning
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Structured outputstructured_output1

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Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Supported parameterssupported_parameters1

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include_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Tagstags1

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ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, gpt_oss, text-generation, vllm, 8-bit, mxfp4 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tool callingtool_calling1

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ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, U8 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

35

Source tiers

T1T22 / 33

Freshest observation

6 h ago

Conflicts

None

Source documents 5

Source documents
SourceDocumentTypeTierLast observedSnapshots
Groq — docs & pricingconsole.groq.com/docs/models model_docsT1· Official6 h ago3
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 h ago7
Hugging Face Hub (public pages, model cards, papers)huggingface.co/openai/gpt-oss-safeguard-20b/raw/main/README.md model_cardT2· Quality secondary7 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/openai/gpt-oss-safeguard-20b model_pageT2· Quality secondary7 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=openai&p=0&sort=downloads listingT2· Quality secondary8 h ago6

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (70/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →