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Cost anatomy

GPT-5.6 Luna 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
$0.40
CHF 0.322
Cached input / 1M
$0.04
CHF 0.032
Output / 1M
$1.80
CHF 1.45
Cost anatomy

Where this workload's cost goes

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

$2.40
Fresh input · CHF 1.93
$2.16
Cached input · CHF 1.74
$0.378
Output · CHF 0.304
$4.94
Workload total · CHF 3.98

$2.40 + $2.16 + $0.378 = $4.94

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

Long Context tier, for prompts past the short-context threshold; input and cached input are 2x the short-context rates, output 1.5x. Cut from $2.00/$0.20/$9.00 in the same 2026-08-01 Foundry tranche as the short-context Luna row, matching OpenAI's direct long-context rate exactly.

Azure Retail Prices API 'Foundry Models', full paged sweep captured 2026-08-20: '5.6 luna LongCo Inp Std Gl 1M Tokens' $0.40/M, 'Cd Inp Std Gl' $0.04/M, 'Cd Wr Std Gl' $0.50/M, 'Opt Std Gl' $1.80/M — effective 2026-08-01, with no 2026-07-01 luna tranche remaining. Equals OpenAI's published direct long-context rate for gpt-5.6-luna ($0.40/$0.04/$1.80), read via raw DOM from developers.openai.com/api/docs/pricing the same day. No LongCo priority (PP) meter exists for any GPT-5.6 variant.

Direct vs Foundry

Same-model deployment markup

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

Not available — no Direct API 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.

  • MiniMax M2.7
    MiniMax · MiniMax direct API
    Direct API
    $5.29
    CHF 4.26
    +$0.354 (+7%) vs this lane
  • MiniMax M3
    MiniMax · MiniMax direct API
    Direct API
    $5.29
    CHF 4.26
    +$0.354 (+7%) vs this lane
  • DeepSeek-V4 Pro
    DeepSeek · DeepSeek direct API
    Direct API
    $5.56
    CHF 4.48
    +$0.626 (+13%) vs this lane
  • MiniMax 3
    MiniMax · Fireworks-hosted
    Foundry ·Data Zone
    $5.82
    CHF 4.69
    +$0.883 (+18%) vs this lane
  • MiniMax M2.5
    MiniMax · Fireworks-hosted
    Foundry ·Data Zone
    $4.04
    CHF 3.25
    -$0.899 (-18%) vs this lane
  • Qwen3.7 Plus (Promo)
    Qwen · Model Studio (Intl)
    Direct API
    $3.92
    CHF 3.15
    -$1.02 (-21%) vs this lane