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Cost anatomy

DeepSeek-V4.1 Flash

DeepSeek · Direct from AzureFoundry ·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
$0.30
CHF 0.241
Cached input / 1M
$0.006
CHF 0.005
Output / 1M
$1.20
CHF 0.966
Cost anatomy

Where this workload's cost goes

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

$1.80
Fresh input · CHF 1.45
$0.324
Cached input · CHF 0.261
$0.252
Output · CHF 0.203
$2.38
Workload total · CHF 1.91

$1.80 + $0.324 + $0.252 = $2.38

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

Microsoft Foundry Direct from Azure public preview, billed through the Azure subscription. The flat Global Standard price is separate from the DeepSeek API's time-based variants. Azure's retail feed also emits Data Zone meters, but Microsoft's launch table documents Global Standard only, so no Data Zone lane is inferred.

Microsoft Foundry Blog (techcommunity.microsoft.com/blog/azure-ai-foundry-blog/deepseek-v4-1-flash-is-coming-to-microsoft-foundry/4556431) lists Direct from Azure Global Standard at $0.30/M input, $0.006/M cache, and $1.20/M output. Azure Retail Prices API, serviceName 'Foundry Models', productName 'Azure Deepseek Models', captured 2026-10-09, now shows matching Global meters effective 2026-10-01. It also emits Data Zone meters, but Microsoft's launch table documents Global Standard only; those Data Zone rows are not modeled until Microsoft confirms deployment support. The Azure price has no peak/off-peak schedule, unlike DeepSeek's Direct API.

Direct vs Foundry

Same-model deployment markup

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

LaneDeploymentWorkload costFoundry markup
DeepSeek-V4.1 Flash
DeepSeek direct API
Direct API$1.19+$1.19 (+100%)
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.

  • DeepSeek-V4 Flash
    DeepSeek · Fireworks-hostedSame provider
    Foundry ·Data Zone
    $2.59
    CHF 2.08
    +$0.209 (+9%) vs this lane
  • DeepSeek-V4 Flash
    DeepSeekSame provider
    Foundry ·Global
    $2.76
    CHF 2.22
    +$0.383 (+16%) vs this lane
  • GPT-6 Luna Long Context
    OpenAI / Azure OpenAI · OpenAI direct API
    Direct API
    $2.44
    CHF 1.96
    +$0.062 (+3%) vs this lane
  • GPT-6 Luna Long Context
    OpenAI / Azure OpenAI
    Foundry ·Global
    $2.44
    CHF 1.96
    +$0.062 (+3%) vs this lane
  • MAI-Code-1.1-Flash
    Microsoft AI
    Foundry ·Global
    $2.53
    CHF 2.04
    +$0.156 (+7%) vs this lane
  • GPT-5.6 Luna
    OpenAI / Azure OpenAI
    Foundry ·Global
    $2.53
    CHF 2.04
    +$0.156 (+7%) vs this lane