gpt-oss-safeguard-20B: benchmark results

OpenAI's open-weight gpt-oss-safeguard-20b (October 2025), a 21-billion-parameter, 3.6-billion-active safety-reasoning model built on gpt-oss for classifying text against safety policies supplied by the developer. Provider: OpenAI. Released 2025-10-29. Access: Open.

Aggregate Rating 1649 ± 18, rank #314 of 1656 rated models, from 35 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
TRACE (LRM Safety) - Prompt Risk Category62.25Macro F1 (%; classification of unsafe prompts into nine risk100
Konkur 1404 - Experimental Sciences54.04Accuracy (%, text-only)95.5
Konkur 1404 - Foreign Language42.31Accuracy (%, text-only)95.5
Konkur 1404 - Mathematics66.96Accuracy (%, text-only)95.5
Konkur 1404 - Overall51Accuracy (%, text-only)95.5
UbuntuGuard - Cross-Lingual84.85F1 (%) for PASS/FAIL policy-compliance classification of use92.9
UbuntuGuard - Full Localization78.27F1 (%) for PASS/FAIL policy-compliance classification of use92.9
SnakeBench31.2TrueSkill Rating89.6
Enkrypt AI - Insecure Code Risk7.56Risk Score85.5
TRACE (LRM Safety) - Reasoning Trace79.6F1 on the unsafe class (%; guardrail safe or unsafe judgment82.4
Konkur 1404 - Humanities44.62Accuracy (%, text-only)77.3
Enkrypt AI - Risk Score25.72Risk Score74.7

Interactive version: theaggregate.ai/model?slug=gpt-oss-safeguard-20b · How It Works · Data refreshed daily, snapshot 2026-10-20.