GPT-6.1 Sol
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.
$13.20 + $5.94 + $2.31 = $21.45
How much to trust these numbers
Microsoft's September 29 Foundry launch lists the US Data Zone short-context rate. EU and APAC Data Zone are $2.40/$0.12/$12.00 per M; those regional alternatives are recorded here rather than as separate rows. Cache writes are outside this schema.
Microsoft's Foundry launch announcement lists US Data Zone Standard short-context rates of $2.20/$0.11/$11 per M input/cached-input/output and EU/APAC Data Zone at $2.40/$0.12/$12. Azure Retail Prices API, serviceName 'Foundry Models', productName 'Azure OpenAI GPT6', captured 2026-10-09, confirms both 6.1-sol Data Zone rate groups effective 2026-10-01. The cache-write meters are also present but are outside this schema.
Same-model deployment markup
How much this Foundry lane costs over the same model's Direct API rate.
| Lane | Deployment | Workload cost | Foundry markup |
|---|---|---|---|
| GPT-6.1 Sol OpenAI direct API | Direct API | $19.50 | +$1.95 (+10%) |
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-5.2 / CodexOpenAI / Azure OpenAISame providerFoundry ·Global$22.89CHF 18.43+$1.44 (+7%) vs this lane
- GPT-5.3 Codex / ChatOpenAI / Azure OpenAISame providerFoundry ·Global$22.89CHF 18.43+$1.44 (+7%) vs this lane
- GPT-6.1 SolOpenAI / Azure OpenAI · OpenAI direct APISame providerDirect API$19.50CHF 15.70-$1.95 (-9%) vs this lane
- GPT-6.1 SolOpenAI / Azure OpenAISame providerFoundry ·Global$19.50CHF 15.70-$1.95 (-9%) vs this lane
- GPT-6 SolOpenAI / Azure OpenAI · OpenAI direct APISame providerDirect API$24.90CHF 20.04+$3.45 (+16%) vs this lane
- GPT-6 SolOpenAI / Azure OpenAISame providerFoundry ·Global$24.90CHF 20.04+$3.45 (+16%) vs this lane