# OpenAI Factuality (Internal) — AI model rankings

OpenAI's internal test uses prompts designed to provoke factual mistakes. The score is the percentage of answers containing at least one factual error, at the model's best published reasoning effort. It is not the percentage of individual claims that are wrong or an error rate for everyday use. Lower is better.

1 tracked model have a published OpenAI Factuality (Internal) score. Lower is better. Scores come from published lab reports and benchmark sources; recorded sources appear beside the scores.

## Ranking

| Rank | Model | Developer | Score | Source | Released |
| --- | --- | --- | --- | --- | --- |
| 1 | GPT-6.1 Terra | OpenAI | 4.3% | Lab | Oct 26 2026 |


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Canonical page: https://aireleasetracker.com/benchmark/openai-factuality-error-rate
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.