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Cost anatomy

GPT-6.1 Sol Long Context

OpenAI / Azure OpenAIFoundry ·Global

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
$4.00
CHF 3.22
Cached input / 1M
$0.20
CHF 0.161
Output / 1M
$15.00
CHF 12.08
Full published schedule
Flex (from 2026-10-01)$2.00 / $0.10 / $7.50
Cost anatomy

Where this workload's cost goes

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

$24.00
Fresh input · CHF 19.32
$10.80
Cached input · CHF 8.69
$3.15
Output · CHF 2.54
$37.95
Workload total · CHF 30.55

$24.00 + $10.80 + $3.15 = $37.95

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

Microsoft's September 29 Foundry launch lists the Global Standard long-context rate for prompts above 272K input tokens. The matching $5/M cache-write rate is outside this schema.

Microsoft's Foundry launch announcement lists Global Standard long-context rates of $4/$0.20/$15 per M input/cached-input/output for prompts above 272K tokens. Azure Retail Prices API, serviceName 'Foundry Models', productName 'Azure OpenAI GPT6', captured 2026-10-09, confirms matching 6.1-sol long-context Global meters effective 2026-10-01. The cache-write meter is also present but is outside this schema.

Direct vs Foundry

Same-model deployment markup

How much this Foundry lane costs over the same model's Direct API rate.

LaneDeploymentWorkload costFoundry markup
GPT-6.1 Sol Long Context
OpenAI direct API
Direct API$37.95$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 Sol Long Context
    OpenAI / Azure OpenAI · OpenAI direct APISame provider
    Direct API
    $37.95
    CHF 30.55
    $0.00 (0%) vs this lane
  • GPT-6.1 Sol Long Context
    OpenAI / Azure OpenAISame provider
    Foundry ·Data Zone
    $41.75
    CHF 33.60
    +$3.80 (+10%) vs this lane
  • Kimi K3
    Kimi · Kimi direct API
    Direct API
    $37.35
    CHF 30.07
    -$0.60 (-2%) vs this lane
  • Kimi K3
    Kimi · Fireworks-hosted
    Foundry ·Global
    $37.35
    CHF 30.07
    -$0.60 (-2%) vs this lane
  • Claude Opus 5.5
    Claude
    Direct API
    $39.00
    CHF 31.40
    +$1.05 (+3%) vs this lane
  • Claude Opus 5.5
    Claude
    Foundry ·Global
    $39.00
    CHF 31.40
    +$1.05 (+3%) vs this lane