OpenAI: gpt-oss-safeguard-20b Coding Benchmark
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...
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Coding Performance
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Pricing
Cost per 1 million tokens
Example Cost
Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0060
Coding Capabilities
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Coding Features
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Technical Details
Architecture and implementation specifications
- Model ID
- openai/gpt-oss-safeguard-20b
- Created
- October 29, 2025
- Tokenizer
- GPT
- Input Modalities
- Text
- Context Window
- 131,072 tokens
- Max Completion Tokens
- 65,536 tokens
- Input Price
- $0.07 per 1M tokens
- Output Price
- $0.30 per 1M tokens
- Cache Read Price
- $0.04 per 1M tokens
- Content Moderation
- Disabled
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