OpenAI Privacy Filter Models by OpenAI
1 model2026Up to 128k ctx
Details
ResearcherOpenAI
LicenseApache 2.0(OSI)
Commercial useCommercial use allowed
Models1
Released2026
Max context128k
About
OpenAI's open-weight privacy and PII detection model family, released for local text redaction and data minimization workflows.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view
OpenAI Privacy FilterCurrent
Use when the workload needs safety, 128k context, and 1.5B parameters.
2026-04safety128k context1.5B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| OpenAI Privacy Filter | Use when the workload needs safety, 128k context, and 1.5B parameters. | 2026-04 | safety128k context1.5B parameters | Current |
Release Timeline
1 release group2026-04
1 current
OpenAI Privacy Filter
Currentsafety128k context1.5B parameters
Specifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| OpenAI Privacy Filter | 2026-04 | 128k | 1.5B |
Frequently Asked Questions
- What is OpenAI Privacy Filter used for?
- OpenAI Privacy Filter is used for safety. The family description and listed model capabilities point to those workloads as the best fit.
- How does OpenAI Privacy Filter compare to GPT Realtime 2?
- OpenAI Privacy Filter by OpenAI is strongest where you need safety, while GPT Realtime 2 by OpenAI is the closest related family to check for translation. OpenAI Privacy Filter has 1 listed variant and reaches up to 128k context, while GPT Realtime 2 reaches up to 131k context, so compare the specs and pricing tables before choosing a production model.
- Which OpenAI Privacy Filter model should I use?
- If price is the main constraint, use the pricing table first because OpenAI Privacy Filter does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate OpenAI Privacy Filter with 128k context.
