Model board / GPT-6 Astra
GPT-6 Astra
latest OpenAIVerified 2026-09-10 against the pages listed below. Prices are USD per 1M tokens, list rate — no committed-use, enterprise or volume discount.
the long-context tier is $20.00/$2.00/$25.00/$75.00, and Batch halves every column. OpenAI's models page now names this, not GPT-5.6 Sol, as the place to start
cached input at 10% of base; implicit mode places the breakpoint for you, explicit-only mode lets you place it, and an entry lives at least 30 minutes after its last write or reuse
Watch out
Ties Claude Fable 5.1 for the dearest output on the board at $50.00, and its $1.00 cache read is four times Fable 5.1's $0.25. Reasoning effort starts at low — there is no none — so every call pays for some thinking, at the output rate
What we would use it for
OpenAI's recommended starting point for the hardest reasoning and coding work
What this has cost, week by week
Output price at each refresh since 2026-09-10. A vendor change is the provider changing its price. Our correction means this board changed what it prints and the provider's charge did not move — the two are never merged, because publishing the second as the first would be a price rise that never happened.
Nothing has moved since we started tracking it.
Where these numbers came from
https://developers.openai.com/api/docs/pricinghttps://developers.openai.com/api/docs/modelshttps://developers.openai.com/api/docs/guides/prompt-caching
No number on this page was written that was not read from one of those pages on 2026-09-10. If one is wrong, send us the source URL and it is corrected in the next weekly refresh, with a changelog line saying what was wrong — contact@naderu.com.
Jobs this is one of our picks for
- Deep reasoning — Hard problems that reward thinking tokens (
deep-reasoning)
Discussed in Naderu Weekly
- The name stayed. The model didn't. — 2026-09-10
The rest of the board
This row sits alongside 57 others on the model board, refreshed every week. The same data as JSON, and the terms for using it, are at /board-data.