Cost anatomy

GPT-6.1 Terra 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

Input tokens (M)60M

Output tokens (K)210K

Cache hit rate90%

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

Time

Service tier

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

$2.00

CHF 1.61

Cached input / 1M

$0.10

CHF 0.081

Output / 1M

$7.50

CHF 6.04

Full published schedule

Batch$1.00 / $0.05 / $3.75Flex$1.00 / $0.05 / $3.75Fast mode$4.00 / $0.20 / $15.00

Cost anatomy

Where this workload's cost goes

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

$12.00

Fresh input · CHF 9.66

$5.40

Cached input · CHF 4.35

$1.57

Output · CHF 1.27

$18.97

Workload total · CHF 15.27

$12.00 + $5.40 + $1.57 = $18.97

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

Prompts above 272K input tokens. Separate cache-write fees are not included.

Verified 2026-11-05 against https://developers.openai.com/api/docs/models/gpt-6.1-terra and https://developers.openai.com/api/docs/pricing. Above 272K prompt tokens, input/cache rates double and output is 1.5x. Batch/Flex are half Standard; Fast is 2x. Cache writes are separate.

Direct vs Foundry

Same-model deployment markup

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

Lane	Deployment	Workload cost	Foundry markup
GPT-6.1 Terra Long Context Azure OpenAI (APAC)	Foundry ·Data Zone	$22.77	+$3.80 (+20%)
GPT-6.1 Terra Long Context Azure OpenAI (EU)	Foundry ·Data Zone	$22.77	+$3.80 (+20%)
GPT-6.1 Terra Long Context Azure OpenAI (US)	Foundry ·Data Zone	$20.87	+$1.90 (+10%)
GPT-6.1 Terra Long Context Azure OpenAI	Foundry ·Global	$18.97	$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.

GPT-6.1 Terra Long Context
OpenAI / Azure OpenAI · Azure OpenAISame provider
Foundry ·Global
$18.97
CHF 15.27
$0.00 (0%) vs this lane
GPT-6.1 Sol
OpenAI / Azure OpenAI · OpenAI direct APISame provider
Direct API
$19.50
CHF 15.70
+$0.525 (+3%) vs this lane
GPT-6.1 Sol
OpenAI / Azure OpenAISame provider
Foundry ·Global
$19.50
CHF 15.70
+$0.525 (+3%) vs this lane
GPT-6.1 Terra Long Context
OpenAI / Azure OpenAI · Azure OpenAI (US)Same provider
Foundry ·Data Zone
$20.87
CHF 16.80
+$1.90 (+10%) vs this lane
GPT-6.1 Sol
OpenAI / Azure OpenAISame provider
Foundry ·Data Zone
$21.45
CHF 17.27
+$2.48 (+13%) vs this lane
GPT-6.1 Terra Long Context
OpenAI / Azure OpenAI · Azure OpenAI (APAC)Same provider
Foundry ·Data Zone
$22.77
CHF 18.33
+$3.80 (+20%) vs this lane