Skip to content
llm-spend
Cost anatomy

GPT-6 Rosalind 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
$30.00
CHF 24.15
Cached input / 1M
$3.00
CHF 2.42
Output / 1M
$112.50
CHF 90.56
Cost anatomy

Where this workload's cost goes

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

$180.00
Fresh input · CHF 144.90
$162.00
Cached input · CHF 130.41
$23.63
Output · CHF 19.02
$365.63
Workload total · CHF 294.33

$180.00 + $162.00 + $23.63 = $365.63

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

Approved internal life-sciences research only. Published Long-context pricing; separate cache-write fees apply.

OpenAI API pricing and changelog, checked 2026-11-05: https://developers.openai.com/api/docs/pricing and https://developers.openai.com/api/docs/changelog . Rates read from the Short/Long selectors. No matching Foundry meter; no Foundry price inferred.

Direct vs Foundry

Same-model deployment markup

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

Not available — no Microsoft Foundry listing exists for this exact model in the catalog.

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.

Not available — no other catalog lane falls within ±25% of this workload’s cost right now. Adjust the workload above, or browse the full comparison table.