--- title: "OpenAI: gpt-oss-safeguard-20b — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/openai__gpt-oss-safeguard-20b/ description: "OpenAI: gpt-oss-safeguard-20b: $0.075/M in, $0.300/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero." --- # OpenAI: gpt-oss-safeguard-20b — unrated, priced in this catalogue · Undominated.ai > OpenAI: gpt-oss-safeguard-20b: $0.075/M in, $0.300/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/openai__gpt-oss-safeguard-20b/) [Cheaper alternatives](/alternatives/) [Family](/families/gpt-oss/) [Compare models](https://undominated.ai/compare/?models=openai%2Fgpt-oss-safeguard-20b) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # gpt-oss-safeguard-20b OpenAI · 29 Oct 2025 Balanced Summarise Chat Code gen Agentic NOT INDEPENDENTLY RATED ## No independent LMArena score is published for this model. **$0.131** / 1M tokens Balanced · 3 tokens in per 1 out deal-only price: No offer passes the like-for-like test, so this price is a fallback: precision not disclosed. · precision not disclosed: The seller whose offer sets this price does not declare its serving precision. It is not read as full precision. Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated Context window 131.07K Maximum output 65.54K Input modalities text Output modalities text Published input price $0.075 / 1M tokens Published output price $0.300 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Groq: no serving offer passes the like-for-like test, so this is a fallback. deal-only price precision not disclosed The seller whose offer sets this price does not declare its serving precision. It is not read as full precision. Every price dimension · USD per million tokens | Input | $0.075 /M | | --- | --- | | Output | $0.300 /M | | Cached input | $0.038 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 1 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Groq groq Endpoint terms Cached input /M $0.038 Context limit 131,072 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.21% | Input $0.075 | Output $0.300 | Precision undeclared | Uptime (1d) 97.86% | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. ### Capability | Context window | 131K | | --- | --- | | Max output | 65K | | Input modes | text | | Tool use | yes | | Reasoning | always on | | Open weights | Unknown | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | unrated | 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... ## Questions this page answers What does gpt-oss-safeguard-20b cost? $0.075/M in, $0.300/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does gpt-oss-safeguard-20b have an independent quality score? gpt-oss-safeguard-20b has no independent quality score in this catalogue. Unrated is not a score of zero. What beats gpt-oss-safeguard-20b? gpt-oss-safeguard-20b has no independent quality score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for gpt-oss-safeguard-20b? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean gpt-oss-safeguard-20b scored zero? Unrated is not a score of zero. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options OpenAI: gpt-oss-safeguard-20b. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [GPT-5.5](/models/openai__gpt-5.5/) - OpenAI models [OpenAI](/providers/openai/) - Where this model appears [effort](/effort/) - Same vendor [GPT-5.6 Sol](/models/openai__gpt-5.6-sol/) - Where this model appears [subscription vs API](/plans/) - Same vendor [GPT-5.4](/models/openai__gpt-5.4/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![gpt-oss-safeguard-20b — Undominated.ai dominance verdict](https://undominated.ai/badge/openai__gpt-oss-safeguard-20b.svg)](https://undominated.ai/models/openai__gpt-oss-safeguard-20b/) HTML Copy gpt-oss-safeguard-20b — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/openai__gpt-oss-safeguard-20b.svg](https://undominated.ai/badge/openai__gpt-oss-safeguard-20b.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)