OpenAI's Privacy Filter is a bidirectional token-classification model designed for personally identifiable information (PII) detection and masking in text, exceling at high-throughput data sanitization workflows. It boasts a notable technical trait in its long-context capability, with a 131,072-token context window enabling processing of long text with high throughput and no chunking.
Input
Output
Context
131K
Max Output
-
Parameters
1.4B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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