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Cost anatomy

GPT-chat-latest

OpenAI / Azure OpenAI · OpenAI direct API (`chat-latest`)Direct 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

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
$5.00
CHF 4.03
Cached input / 1M
$0.50
CHF 0.403
Output / 1M
$30.00
CHF 24.15
Cost anatomy

Where this workload's cost goes

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

$30.00
Fresh input · CHF 24.15
$27.00
Cached input · CHF 21.74
$6.30
Output · CHF 5.07
$63.30
Workload total · CHF 50.96

$30.00 + $27.00 + $6.30 = $63.30

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

Dynamic alias for the latest Instant model used in ChatGPT. OpenAI recommends GPT-6 Astra for production API usage.

OpenAI's official `chat-latest` model page, captured 2026-10-15, lists a 400,000-token context window, 128,000 max output, and $5/$0.50/$30 per M input/cached-input/output. The OpenAI API pricing page confirms the same rate. The underlying alias is regularly updated.

Direct vs Foundry

Same-model deployment markup

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

LaneDeploymentWorkload costFoundry markup
GPT-chat-latest
Microsoft Foundry (`gpt-chat-latest`, Preview)
Foundry ·Global$63.30$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-5.5
    OpenAI / Azure OpenAISame provider
    Foundry ·Global
    $63.30
    CHF 50.96
    $0.00 (0%) vs this lane
  • GPT-chat-latest
    OpenAI / Azure OpenAI · Microsoft Foundry (`gpt-chat-latest`, Preview)Same provider
    Foundry ·Global
    $63.30
    CHF 50.96
    $0.00 (0%) vs this lane
  • GPT-Rosalind Research
    OpenAI / Azure OpenAI · OpenAI direct APISame provider
    Direct API
    $62.25
    CHF 50.11
    -$1.05 (-2%) vs this lane
  • GPT-5.5
    OpenAI / Azure OpenAISame provider
    Foundry ·Data Zone
    $69.63
    CHF 56.05
    +$6.33 (+10%) vs this lane
  • GPT-5.6 Sol
    OpenAI / Azure OpenAISame provider
    Foundry ·Data Zone
    $54.78
    CHF 44.10
    -$8.52 (-13%) vs this lane
  • GPT-6 Sol Long Context
    OpenAI / Azure OpenAISame provider
    Foundry ·Data Zone
    $53.63
    CHF 43.17
    -$9.67 (-15%) vs this lane