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Cost anatomy

GLM-5.3-Flash

GLM · Z.ai direct APIDirect 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.

List price (from September 10) — priced under the selected scenario, differs from the flat listed rate

Input / 1M
$0.15
CHF 0.121
Cached input / 1M
$0.03
CHF 0.024
Output / 1M
$0.50
CHF 0.403
Full published schedule
List price (from September 10)
List price (from September 10)$0.15 / $0.03 / $0.50
Cost anatomy

Where this workload's cost goes

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

$0.90
Fresh input · CHF 0.724
$1.62
Cached input · CHF 1.30
$0.105
Output · CHF 0.085
$2.62
Workload total · CHF 2.11

$0.90 + $1.62 + $0.105 = $2.62

Provenance

How much to trust these numbers

InputofficialCached inputofficialOutputofficial

Native multimodal GLM-5 model with image, video and file input. Reasoning is always enabled; the current 50% promotion covers input, cached input and output, then reverts to the published list rate on 2026-09-09 at 16:00 UTC.

Z.ai official pricing page (docs.z.ai/guides/overview/pricing), captured 2026-08-28: GLM-5.3-Flash is listed at $0.075/M input, $0.015/M cached input and $0.25/M output, with strikethrough list prices of $0.15/$0.03/$0.50. The page states that the 50% promotion ends at 24:00 on September 9, 2026 (UTC+8, Singapore time). The official model guide (docs.z.ai/guides/vlm/glm-5.3-flash) lists image/video/text/file input, a 1M-token context window, 128K max output and reasoning that cannot be disabled. A full Azure Retail Prices API sweep on 2026-08-28 found no Foundry meter for GLM-5.3-Flash, so this direct-API row is the only lane.

Direct vs Foundry

Same-model deployment markup

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

LaneDeploymentWorkload costFoundry markup
GLM-5.3-Flash
Fireworks-hosted
Foundry ·Global$3.31+$0.686 (+26%)
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-hosted
    Foundry ·Data Zone
    $2.59
    CHF 2.08
    -$0.04 (-2%) vs this lane
  • GPT-6 Luna Long Context
    OpenAI / Azure OpenAI
    Foundry ·Data Zone
    $2.68
    CHF 2.16
    +$0.056 (+2%) vs this lane
  • MAI-Code-1.1-Flash
    Microsoft AI
    Foundry ·Global
    $2.53
    CHF 2.04
    -$0.093 (-4%) vs this lane
  • GPT-5.6 Luna
    OpenAI / Azure OpenAI
    Foundry ·Global
    $2.53
    CHF 2.04
    -$0.093 (-4%) vs this lane
  • DeepSeek-V4 Flash
    DeepSeek
    Foundry ·Global
    $2.76
    CHF 2.22
    +$0.134 (+5%) vs this lane
  • GPT-6 Luna Long Context
    OpenAI / Azure OpenAI · OpenAI direct API
    Direct API
    $2.44
    CHF 1.96
    -$0.187 (-7%) vs this lane