OpenAI·openai/gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is ModelCap current-board rank #167 with Index 29.5 (Modeled · lineage), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
gpt-oss-safeguard-20b listed OpenRouter input price is $0.075 per 1M tokens and listed output price is $0.30 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
gpt-oss-safeguard-20b has a published context limit of 131K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
gpt-oss-safeguard-20b has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
gpt-oss-safeguard-20b weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.
Missing: evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
Models within 3 places of #167 on the ModelCap Index.
Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).
The same publisher's other current models with a public Index position.
gpt-oss-safeguard-20b holds ModelCap Index position #167 of 248 ranked language models as of 22 September 2026, with an Index score of 29.5 (interval 9.0–50.0); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
gpt-oss-safeguard-20b is listed at $0.075 per 1M input tokens and $0.30 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.30 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
gpt-oss-safeguard-20b has a published context window of 131K tokens (131,072) and a maximum output of 66K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is openai/gpt-oss-safeguard-20b on Hugging Face.
One provider serves gpt-oss-safeguard-20b through OpenRouter as of 22 September 2026: Groq. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
gpt-oss-safeguard-20b's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 22 September 2026. The evidence panel names each source and its publication date.
gpt-oss-safeguard-20b ranks #167 (Index 29.5) and Llama 4 Maverick ranks #166 (Index 30.1) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
gpt-oss-safeguard-20b first appeared in the catalogue on 29 Oct 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.