Bedrock
100.00%Context128K
Max output16K
p50 latency384 ms
Throughput197.0 t/s
Input price$0.07
Output price$0.2
Zero retentionNo training
Model directory
Baseer model profileLanguage model
openai/gpt-oss-safeguard-20b
GPT OSS Safeguard 20B
OpenAI's first open weight reasoning model specifically trained for safety classification tasks. Fine-tuned from GPT-OSS, this model helps classify text content based on customizable policies, enabling bring-your-own-policy Trust & Safety AI where your own taxonomy, definitions, and thresholds guide classification decisions.
Input / 1M tokens$0.07
Output / 1M tokens$0.2
Maximum context131.1K
Inference providers2
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
Groq
100.00%Context131.1K
Max output65.5K
p50 latency107 ms
Throughput—
Input price$0.075
Output price$0.3
Zero retentionNo trainingCaching
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Bedrock | 128K | 16K | 384 ms | 197.0 t/s | 99.996% | $0.07 | $0.2 | |
Groq | 131.1K | 65.5K | 107 ms | — | 100.000% | $0.075 | $0.3 |
What can this model do?
Available modalities and capabilities across inference providers.
TextAdvanced reasoningTool useAutomatic cachingTools
Reasoning options
LowMediumHigh
Technical profile
- Model type
- Language model
- Release date
- Oct 29, 2025
- Knowledge cutoff
- 2024-10
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
openai/gpt-oss-safeguard-20bModel profile updated: Sep 12, 2026, 1:46 PM
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