The GPT-6 Astra model, recently introduced by OpenAI, demonstrated the ability to pass CAPTCHA tests, which are one of the main barriers used by online platforms against bots and agentic AI.
During the test, the model managed to complete all 48 stages of the game 'I am not a Robot,' developed by Neil Agarwal. This demonstration was published by programmer Sharif Shamim, who showed how the AI used a web browser to solve the tasks completely, after which the page itself issued a digital certificate of a 'verified human.'
The result is attracting attention because the tasks required more than just answering questions; to pass all stages, the model had to interpret visual elements, click on specific points, and move objects. At certain moments, the model even indicated actions that Shamim needed to perform to pass camera tests.
CAPTCHA is an English abbreviation meaning 'Completely Automated Public Turing test to tell Computers and Humans Apart,' which is widely known due to its appearance when confirming access to an account or website.
Existing services can combine visual tasks with other indicators to detect automation, beyond analyzing access behavior. However, Agarwal's game was created as an interactive experience and does not mean that platform security systems are automatically bypassable by an agent. What draws attention is precisely the AI's interactivity with the browser and its ability to interpret tasks.
This result has already prompted figures such as Jensen Huang, CEO of Nvidia, to state that OpenAI has achieved AGI. The capability demonstrated in the game is one of the key characteristics presented by OpenAI upon announcing Astra. The model showed a high score in the OSWorld 2.0 benchmark, which measures this interactivity, achieving an average accuracy of 72.6%, while GPT 5.6-Sol registered 65.7%.
In this regard, OpenAI dedicated part of the presentation to demonstrations of Astra in real software as an agent. These tasks included operations in Blender, in Apple Notes, and in Canva. Furthermore, Astra possesses a context window of about 1.05 million tokens, allowing it to maintain an extensive history during long usage sessions.


