GPT-6 Astra API Pricing
GPT-6 Astra is OpenAI’s new top of stack, announced September 3, 2026 and described in the docs as our most capable model, built for the hardest end-to-end work. Standard short-context rates are $10/M input, $1/M cached input, $12.50/M cache writes and $50/M output — an effective $6.82/M on this site’s agentic blend. The striking part is the ratio: every one of the thirteen rates OpenAI publishes for Astra is exactly 2.5x the matching rate for GPT-5.6 Sol — standard, long context, cached, cache writes, Batch, Flex and Fast mode alike. Read the multiple with care, though: Sol’s card is itself promotional at least through November 21, 2026, so the clean 2.5x is measured against a discounted baseline. Astra launched gated to OpenAI’s Trusted Access enterprises; that door opened within three days — as of our September 6 check the model page publishes ordinary rate limits for usage tiers 1 through 5, and the docs now tell any developer unsure where to start to reach for Astra first.
Run the numbers.
Rates shown are standard short-context. Anything over 272K input tokens reprices the whole request, not just the overflow — set the input slider past that mark and the figures step up accordingly.
Real-world presets.
Repo-wide migration run
Long-document research pass
Browser task loop
Report section draft
Paste text. See tokens. See cost.
Counted with the o200k_base BPE encoding — the same tokenizer the API uses — entirely in your browser. The encoder loads on your first keystroke (~1 MB, one time); your text never leaves this page.
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| GPT-6 Astra Current | $10.00 cache $1.00 | $50.00 | $6.82 agentic 92/8 | 1.05M | Hardest end-to-end work, and now generally available |
| GPT-5.6 Sol | $4.00 cache $0.40 | $20.00 | $2.73 the card Astra multiplies by 2.5 | 1.05M | The frontier tier anyone can call today |
| GPT-5.5 | $5.00 cache $0.50 | $30.00 | $3.61 no cache-write rate published | 1M | Broadly available OpenAI flagship |
| GPT-5.6 Terra | $2.00 cache $0.20 | $12.00 | $1.52 same blend | 1.05M | Production agents that do not need the top tier |
| GPT-5.6 Luna | $0.20 cache $0.02 | $1.20 | $0.152 same blend | 1.05M | High-volume routing and extraction |
| Claude Mythos 5.1 | $10.00 cache $0.25 | $50.00 | $6.26 identical sticker, cheaper cache read | 1M | Same $10/$50 sticker, two days older, still gated |
| Claude Fable 5.1 | $10.00 cache $0.25 | $50.00 | $6.26 same card as Mythos, no gate | 1M | The $10/$50 frontier model anyone can call today |
Compare the card
Frequently asked.
What the card actually says, why every line of it is 2.5x Sol, and what changed in the three days between launch day and general access.
Q · 01 How much does GPT-6 Astra cost? +
$10/M input, $1/M cached input, $12.50/M cache writes and $50/M output on the standard service tier. Under this site’s 92/8 agentic blend at an 82% cache-hit rate that works out to $6.82/M effective. Batch and Flex are half of standard at $5/$25; Fast mode, the tier renamed from Priority on July 30, 2026, is double at $20/$100.Q · 02 Is it really exactly 2.5x GPT-5.6 Sol? +
$4 to $10, cached $0.40 to $1, cache writes $5 to $12.50, output $20 to $50, and the same multiple again across long context, Batch, Flex and Fast mode — thirteen rates, one ratio. One caveat worth carrying: Sol’s own card is promotional at least through November 21, 2026. If Sol returns to its pre-August $5/$30, the multiple becomes 2x on input and about 1.7x on output without Astra changing at all.Q · 03 Can I actually use it? +
Q · 04 What happens above 272K input tokens? +
2x the input and cache rates and 1.5x the output rate, giving $20/M input, $2/M cached, $25/M cache writes and $75/M output. A 300,000-in, 12,000-out job costs about $2.74 at long-context rates against $1.52 if the same tokens had fitted under the threshold — 1.8x for crossing a line by 28,000 tokens. Trimming a prompt back under 272K is the single highest-leverage optimisation on this model.Q · 05 How does it compare with Claude Mythos 5.1? +
$10/M in, $50/M out — and launched behind the same shape of gate, Anthropic’s Glasswing programme in place of OpenAI’s Trusted Access. Two things separate them now. Access: Astra’s door opened within three days, while Mythos 5.1 still has no row in Anthropic’s model catalogue and no published self-serve API alias, checked September 6. Price: the identical sticker still produces different bills, because the cache read differs — Anthropic charges $0.25/M for a cache hit against OpenAI’s $1/M, so on the same blend Mythos lands at $6.26/M and Astra at $6.82/M, about 9% apart. Sticker parity is not price parity once caching is in the mix.Q · 06 Does Astra really score 99.9% on ARC-AGI-3? +
62.7% at $26,098 under its own Standard harness at max reasoning effort, and 99.9% at $18,817 under OpenAI’s Provider Adapter at high effort. OpenAI’s launch copy quotes the 99.9%. Both are real measurements — of different things, because the harness decides what the model sees and how it is allowed to act, which makes it part of the score rather than a detail beneath it. Note which way the money runs: the configuration that scored 37 points higher also cost 28% less, the reverse of the usual pay-more-for-effort trade. Source: ARC Prize, September 3, 2026.Q · 07 Is Astra the model behind the Daybreak aliases? +
gpt-daybreak-blue-latest to gpt-5.6-sol and gpt-daybreak-red-latest to gpt-5.6-cyber, and says the aliases will be repointed as new models are released through the Daybreak program. So code that pins a Daybreak alias is not getting Astra today, and will silently start getting it — at 2.5x the rate — whenever OpenAI moves the pointer.Q · 08 What are the specs? +
low, medium, high, xhigh and max. Chat Completions, Responses and Batch are supported; Realtime, fine-tuning and the audio endpoints are not. Data-residency endpoints carry the usual 10% uplift, and Fast mode is unavailable for Astra with EU data residency.