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Cost anatomy

GPT-6 Astra Long Context

OpenAI / Azure OpenAI · OpenAI direct APIDirect API

Fresh input / cached input / output cost breakdown, active and scheduled rates, provenance, same-model deployment markup, and cost-comparable alternatives for this purchasable lane.

Start with a pattern

Illustrative workloads

Pick a useful starting shape, then fine-tune every input below.

Fine-tune

Workload and pricing scenario

Adjust the token shape, cache behavior, time window, and service tier. Every number below updates immediately.

Interactive

Workload cost calculator

60M
210K
90%

Share of input tokens served from cache. Applied only to models with a cache meter.

Time

Rows with a rate that changes by time of day, promo window or service tier are priced for this scenario instead of their flat listed rate; a brand-colored label under the model name names which one applies. Context size for band-priced rows uses the input-token count below.

Picking a specific hour also previews time-of-day rates that are scheduled but have not started billing yet; those rows are labelled · preview with their start instant. Now only ever shows rates that are billable at this moment.

Rate state

What this lane charges right now

Priced under the workload and scenario above. The full published schedule below always shows every variant regardless of which scenario is selected.

Input / 1M
$20.00
CHF 16.10
Cached input / 1M
$2.00
CHF 1.61
Output / 1M
$75.00
CHF 60.38
Full published schedule
Batch$10.00 / $1.00 / $37.50Flex$10.00 / $1.00 / $37.50Fast mode$40.00 / $4.00 / $150.00
Cost anatomy

Where this workload's cost goes

60M input tokens (90% cache hit) and 210K output tokens, at the resolved rate above.

$120.00
Fresh input · CHF 96.60
$108.00
Cached input · CHF 86.94
$15.75
Output · CHF 12.68
$243.75
Workload total · CHF 196.22

$120.00 + $108.00 + $15.75 = $243.75

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

OpenAI API Standard long-context rate for prompts above 272K input tokens. Batch and Flex are half price, while Fast mode is 2x Standard.

OpenAI's official GPT-6 Astra model page (developers.openai.com/api/docs/models/gpt-6-astra), captured 2026-09-07: prompts above 272K input tokens are charged at 2x input/cache rates and 1.5x output, giving $20/M input, $2/M cached input, $25/M cache writes and $75/M output. The OpenAI API pricing page confirms the same long-context Standard row and publishes the Batch, Flex and Fast-mode schedules.

Direct vs Foundry

Same-model deployment markup

How much more Microsoft Foundry charges for this exact model, over this Direct rate.

LaneDeploymentWorkload costFoundry markup
GPT-6 Astra Long ContextFoundry ·Data Zone$268.13+$24.38 (+10%)
GPT-6 Astra Long ContextFoundry ·Global$243.75$0.00 (0%)
Cost-comparable

Other lanes within ±25% of this workload's cost

Same provider first, then ranked by cost proximity, for 60M in / 210K out. This is a cost ranking only — never a quality recommendation.