OpenAI reportedly testing GPT-6.2 Astra; about 19.8% of requests in Codex statistics already allocated to this model
Multiple X users have discovered that OpenAI appears to be conducting A/B canary testing of GPT-6.2 Astra. In the Codex usage statistics, "gpt-6.2-astra" has already appeared separately, with about 19.8% of requests allocated to this model. The latest model OpenAI has publicly released is still GPT-6.1 Terra, and it has not yet launched GPT-6.1 Astra. X user Token Gremlin claims that GPT-6.2 Astra may deliver a major performance improvement over GPT-6, with some aspects even surpassing Opus 5.5.
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Is OpenAI about to release a new model? GPT-6.2 Astra exposed
Phoenix Tech Download the app for exclusive early access November 02, 2026 08:49:44 From Beijing
GPT-6.1 Terra
Phoenix Tech News, November 2 (Beijing Time) — Multiple users posted on X claiming that OpenAI appears to have begun testing the GPT-6.2 Astra model. Currently, OpenAI's latest publicly released model is GPT-6.1 Terra, and it has not yet launched GPT-6.1 Astra.
X user Token Gremlin, who tracks the latest developments in AI models, posted that OpenAI is quietly conducting A/B testing on a new version called GPT-6.2 Astra, and that this model has already appeared in Codex usage statistics.
GPT-6.2 Astra exposed
Currently, the model selector still shows GPT-6 Astra, but in the usage breakdown of some user accounts, "gpt-6.2-astra" has already appeared separately, with about 19.8% of requests allocated to this model. Multiple users have observed the same situation, so this is not a simple display glitch. This may be a gray release test, meaning a new generation of Astra is imminent.
GPT-6.2 Astra
Token Gremlin said that compared with GPT-6 Astra, GPT-6.2 Astra may have a major performance improvement, with performance in multiple areas even surpassing Opus 5.5.
Token Gremlin subsequently posted a follow-up saying that GPT-6.2 Astra may be released very soon. He has verified with several Chinese friends, and this model is also displayed on their interfaces. (Author/Xiao Yu)
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