GPT-6 Luna Long Context
Fresh input / cached input / output cost breakdown, active and scheduled rates, provenance, same-model deployment markup, and cost-comparable alternatives for this purchasable lane.
Illustrative workloads
Pick a useful starting shape, then fine-tune every input below.
Workload and pricing scenario
Adjust the token shape, cache behavior, time window, and service tier. Every number below updates immediately.
Workload cost calculator
Share of input tokens served from cache. Applied only to models with a cache meter.
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.
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.
Where this workload's cost goes
60M input tokens (90% cache hit) and 210K output tokens, at the resolved rate above.
$1.20 + $1.08 + $0.158 = $2.44
How much to trust these numbers
Global Standard long-context rate for prompts above 272K input tokens. Batch and Flex are half price; Fast mode is 2x. OpenAI's optional regional-processing premium is not represented as a separate Direct lane.
OpenAI's official GPT-6 Luna model page (developers.openai.com/api/docs/models/gpt-6-luna), captured 2026-09-23: prompts with more than 272K input tokens use $0.20/M input, $0.02/M cached input, and $0.75/M output, with a 1,050,000-token context and 128,000 max output. Cache writes are outside this schema.
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 Luna Long Context | Foundry ·Data Zone | $2.68 | +$0.244 (+10%) |
| GPT-6 Luna Long Context | Foundry ·Global | $2.44 | $0.00 (0%) |
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 Luna Long ContextOpenAI / Azure OpenAISame providerFoundry ·Global$2.44CHF 1.96$0.00 (0%) vs this lane
- GPT-5.6 LunaOpenAI / Azure OpenAISame providerFoundry ·Global$2.53CHF 2.04+$0.094 (+4%) vs this lane
- GPT-6 Luna Long ContextOpenAI / Azure OpenAISame providerFoundry ·Data Zone$2.68CHF 2.16+$0.244 (+10%) vs this lane
- DeepSeek-V4.1 FlashDeepSeek · Direct from AzureFoundry ·Global$2.38CHF 1.91-$0.062 (-3%) vs this lane
- MAI-Code-1.1-FlashMicrosoft AIFoundry ·Global$2.53CHF 2.04+$0.094 (+4%) vs this lane
- DeepSeek-V4 FlashDeepSeek · Fireworks-hostedFoundry ·Data Zone$2.59CHF 2.08+$0.148 (+6%) vs this lane