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GPT-6 Astra

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openai/gpt-6-astra · by OpenAI · decoder-only-transformer

Pricing — 1 offering(s)

Input tokens

  • $10.00 / 1M tokens (input) Current 2026-09-24 → present
    SCO-639: Standard processing, short-context rate. Also on OpenAI's pricing page but NOT tracked as tiers…

    SCO-639: Standard processing, short-context rate. Also on OpenAI's pricing page but NOT tracked as tiers here: cached input $1.00/1M and cache writes $12.50/1M (the schema has no cached-input unit, and a separate per_1m_tokens_input tier would be read as the headline input price by routing and the site; see the cached-input support card), long- context (>272K input tokens) $20.00/1M input and $75.00/1M output, and Batch/Flex at 50% of Standard. No promotional-pricing caveat shown.

Output tokens

  • $50.00 / 1M tokens (output) Current 2026-09-24 → present
    SCO-639: Standard processing, short-context rate. See the input tier's note for the cached-input…

    SCO-639: Standard processing, short-context rate. See the input tier's note for the cached-input, long-context and Batch/Flex rates that aren't tracked here.

Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.

See how GPT-6 Astra fits into a cost-aware routing setup

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Capability profile

How GPT-6 Astra rates across core capability dimensions, with the task-level evidence behind each rating.

context window Strong

1,050,000-token context window, 128,000 max output tokens (developers.openai.com/api/docs/models/gpt-6-astra).

tool use Strong

OpenAI API docs: supports Functions, Web search, File search, Computer use.

cost efficiency Weak

Highest-priced tier in the GPT-6 family ($10/$50 per 1M tokens, Standard, short context).

Ratings are estimated — limited independent data is available for this model.

Operator guidance

Top of the GPT-6 family. Route here only when the task needs OpenAI's most capable model; GPT-6 Sol is one fifth the price for balanced intelligence/cost, and GPT-6 Luna covers cost-sensitive, high-volume work.

Use cases

Limitations

Citations