What changed
GPT-6 Astra, which launched September 3 for early access, became generally available in the OpenAI API on September 7 for all Pro, Enterprise, and Business Premium subscribers. Microsoft's Azure Foundry model catalog simultaneously marked gpt-6-astra as GA. Previously only accessible to a limited rollout, it is now self-serve.
TL;DR
OpenAI's most capable model is now API-accessible without a waitlist: model ID gpt-6-astra, $10/M input tokens / $50/M output tokens, 1,050,000-token context window, 128,000-token max output; cached input at $1/M, batch at half-rate.
Developer signal
Three things to action now: (1) Update your model string to gpt-6-astra — this is a new ID, not an alias for any prior GPT-5 or GPT-6 variant; existing code targeting other model IDs will continue to route there until you explicitly update. (2) Recalibrate cost estimates — at $10/$50/M tokens it's higher than GPT-5 series but in the same tier as Claude Fable 5.1 for frontier reasoning tasks; if you run routing (OpenRouter, LLM Gateway), add gpt-6-astra to your fallback chain and set a per-call cost cap. (3) Validate output-cap interaction with long contexts — the 1,050,000-token context window is genuine, but output is capped at 128K; if your pipeline reads very long contexts and writes long outputs, test the output cap behavior before deploying.