Luma AI pricing

About

Luma AI builds Dream Machine, a generative-media platform that turns text and images into video, generates and edits images, and produces audio — surfacing Luma’s own models (Ray3.2, Ray3.14, the Uni-1 image model) alongside a roster of third-party models (Veo 3.1, Veo 3, Kling, Seedance, GPT Image, Nano Banana, Seedream, ElevenLabs) inside a single workspace. Beyond video, Luma is known for Genie, its text-to-3D generation product, and for NeRF/Gaussian-splatting research that put the company on the map before Dream Machine. The product targets individual creators, studios and agencies, with a Team plan for shared workspaces, an Enterprise tier, and a developer API for embedding the models.

Luma monetizes through per-seat Individual subscriptions (Plus, Pro, Ultra) that each bundle a monthly credit allowance, with credits acting as the metered unit across every generation type. Two Business plans (Team, Enterprise) are sales-led and quoted, adding shared team credits, SSO, enterprise commitments and custom fine-tuning. A separate pay-as-you-go API prices generations directly in dollars. Company financials (ARR, headcount, valuation) are left for wiki-research.

For the most current information on Luma AI’s pricing and market position, visit Luma AI.

Pricing summary : How Luma AI’s pricing model works

Luma runs a seat-plus-credits model on Dream Machine. You buy a per-seat Individual subscription — Plus $30/month, Pro $90/month, or Ultra $300/month (each advertising “Save up to 20% with yearly” billing) — and each plan bundles a monthly pool of credits that is the single metered unit consumed by every video, image and audio generation. Unusually, Luma does not post a credit total per plan; instead it frames the tiers by relative usage — Pro advertises “4x usage with the Luma Agents” and Ultra “15x usage”. Team and Enterprise are “Contact us” Business plans adding shared team credits, usage analytics, SSO, enterprise commitments and custom fine-tuning.

Billing dimensions captured:

• Per-seat Individual subscription — Plus $30/month, Pro $90/month, Ultra $300/month; each advertising “Save up to 20% with yearly” billing.
• Relative usage multipliers — Pro is “4x usage with the Luma Agents”, Ultra is “15x usage” (Luma frames tiers by usage, not posted credit totals).
• Credits — a single metered unit consumed per generation, priced per model and resolution (see the per-model grid below); subscription credits do not roll over.
• Commercial use — an explicit feature starting on Plus and carrying through Pro and Ultra.
• Business plans — Team and Enterprise quoted, adding shared team credits, usage analytics, SSO, enterprise commitments and custom fine-tuning.
• Pay-as-you-go API — generations billed directly in dollars per generation (see Hidden costs for representative rates), with HDR output at 2x and HDR+EXR at 3x.

What makes this different: Luma sells seats but meters everything in one credit currency whose per-generation cost is published as a dense, model-by-model grid — a textbook credit-based billing layer wrapped around a seat-plus-usage subscription. The twist is that the plan card itself hides the credit number, substituting a “4x / 15x usage” multiplier — so buyers compare tiers by relative throughput while Luma keeps the underlying allowance flexible.

Pricing by product

Dream Machine (subscription plans)

Dream Machine API (usage-based)

The developer API prices generations directly in dollars per generation rather than plan credits, scaling with model, resolution and duration. HDR output is 2x SDR pricing and HDR+EXR is 3x. Representative computed dollar rates are shown in the Hidden costs section below.

Sales motions across products: PLG / self-serve for the Plus, Pro and Ultra Individual plans and the pay-as-you-go API; sales-led for the Team and Enterprise Business plans (shared credits, SSO, enterprise commitments and custom fine-tuning are quote-stage). The free/draft entry point sits at the top of the self-serve funnel into paid seats.

Hidden costs : What Luma AI users actually pay

The sticker price on a Dream Machine plan is the seat fee, but the number that actually moves your spend is how fast your credit pool drains — and the per-generation cost swings enormously by model and resolution. Because Luma frames plans by a “usage multiplier” rather than a posted credit total, the only way to know whether a plan covers your work is to map your generation mix onto the credit grid. The figures below are computed from Luma’s published per-generation credit costs and API dollar rates, so treat the dollar-per-output numbers as approximate.

Archetype A — credit cost per video clip varies ~100x by model. A creator on a fixed monthly pool pays very different credit prices for the same 5-second 720p clip depending on the model picked.

Archetype B — images and audio quietly draw from the same wallet. The “video” tool also meters images and audio, and a single video clip can cost as much as a hundred images.

Other things to budget for: subscription credits do not roll over — unused allowance resets each billing cycle, so bursty project work wastes part of the pool. HDR and EXR output multiply cost (2x and 3x SDR) on the API and consume proportionally more credits in-app. The per-plan credit total is not posted, so the “4x / 15x usage” framing makes it hard to self-qualify the right tier without testing your actual model mix. Commercial use is gated to paid plans, so any professional output effectively requires at least Plus.

Want to estimate your own Luma AI bill? Use the Luma AI pricing calculator to model your monthly cost based on plan, generation volume and model mix.

Pricing evolution : Luma AI pricing history and changes

Cadence

Tracked range: 2024–present. Intermediate plan changes (the shift from credit-total framing to the current “usage multiplier” Individual ladder) are not yet individually snapshot-verified on this network; the endpoints above anchor on the 2024 Dream Machine launch and the live 2026-06-11 pricing capture.

Notable changes

• 2024-06 — Dream Machine launches as a freemium product: a small monthly free credit allowance at draft resolution plus paid plans, establishing the credit-metered generation model. Early tiers (Lite/Plus/Unlimited) were framed directly by monthly credit totals.
• By 2026-06 — Current Individual ladder is Plus $30 / Pro $90 / Ultra $300 (up to 20% off annually), with tiers now framed by a relative usage multiplier (“4x usage with the Luma Agents” on Pro, “15x” on Ultra) rather than a posted credit number (source: captured lumalabs.ai/pricing).
• By 2026-06 — Two Business plans (Team, Enterprise) are quoted, adding shared team credits, usage analytics, SSO, enterprise commitments and custom fine-tuning; a separate pay-as-you-go API prices generations in dollars with HDR (2x) and HDR+EXR (3x) multipliers.

What’s unique : Luma AI’s distinctive pricing mechanics

1. Tiers framed by a usage multiplier, not a credit total.

Luma’s most distinctive choice is what it leaves off the plan card: there is no posted credit number. Pro is sold as “4x usage with the Luma Agents” and Ultra as “15x usage”, so buyers compare tiers by relative throughput rather than an absolute allowance. This keeps the underlying credit pool flexible (Luma can re-balance per model without renaming plans) but pushes the credit math entirely into the per-generation grid.

2. One credit currency spanning video, image and audio.

Every modality — Ray/Veo/Kling video, GPT Image/Nano Banana/Seedream images, ElevenLabs speech, sound effects and music — is metered in the same credit unit. A 1-credit Seedream image and a 140-credit Veo 3.1 clip both draw from one wallet, so the metered unit means radically different things depending on what you generate. This is credit-based billing stretched across three modalities at once.

3. A marketplace of third-party models priced in Luma’s credits.

Dream Machine surfaces Veo, Kling, Seedance, GPT Image, Nano Banana and ElevenLabs alongside Luma’s own Ray and Uni-1 models — all billed in Luma credits at model-specific rates. Luma effectively runs a re-priced model marketplace where the credit becomes a universal accounting layer over a portfolio of external inference costs it can mark up or subsidize per model.

4. Resolution and HDR as explicit price multipliers.

Cost scales with output fidelity: higher resolution costs more credits, and HDR output is 2x SDR pricing while HDR+EXR is 3x on the API. Fidelity is a first-class pricing axis, so the same clip can cost 4x more at 1080p HDR than at 540p SDR — a usage-based lever that ties price directly to compute.

Strengths & weaknesses

Billing UX : Luma AI billing controls and transparency

• Monthly / Yearly toggle — the pricing page exposes a Monthly vs Yearly switch advertising “Save up to 20% with yearly”, showing both per-plan rates before purchase.
• Per-model credit grid — Dream Machine publishes a detailed cost-per-generation grid (video by model/resolution/audio, image by model/quality, audio by type) so users can see credit cost before generating.
• Usage multiplier framing — paid plans state relative usage (“4x” / “15x”) rather than a credit total, so buyers gauge throughput between tiers but not absolute allowance from the card.
• Shared team credits & analytics — the Team plan pools credits across members and adds usage analytics plus SSO, moving billing controls to the workspace level.
• API dollar pricing — the developer API surfaces explicit per-generation dollar rates (with HDR/EXR multipliers), so usage-based spend is priced in dollars rather than credits.
• Enterprise quote flow — Team and Enterprise route to a “Contact us / Get in touch” form for shared credits, enterprise commitments and custom fine-tuning.

Strategic wins : Why Luma AI’s pricing decisions worked

1. One credit ledger over a multi-model marketplace.

By metering Luma’s own models and a roster of third-party models (Veo, Kling, ElevenLabs) in a single credit currency, Luma can add, remove or re-price any model without changing its plans. The credit becomes a universal accounting layer over a portfolio of external inference costs — exactly the kind of decoupling that lets compute-heavy AI products shift away from per-user licenses toward consumption metering.

2. Bundling commercial rights from the entry tier.

Putting commercial use on the $30 Plus plan (not gating it to an expensive top tier) removes a major adoption barrier for working creators and agencies. It converts free/draft evaluators into paying customers the moment they need to ship — a clean monetization trigger. See choosing the right usage metric.

3. A self-serve API alongside the seat app.

The pay-as-you-go API, priced per generation in dollars with HDR multipliers, lets developers embed Luma’s models without a sales call — running the same models through two go-to-market motions (PLG seats for creators, usage-based dollars for developers) off one inference platform. Related: outcome-based pricing trends.

Areas to improve : Gaps in Luma AI’s pricing approach

1. Publish the per-plan credit total.

Framing tiers as “4x” and “15x usage” forces buyers to reverse-engineer their allowance from the per-generation grid. Posting an explicit monthly credit number per plan (as Luma’s own earlier Lite/Plus/Unlimited tiers did) would let buyers self-qualify in seconds instead of testing. See bill shock and cost unpredictability.

2. Add credit roll-over or expiry warnings.

Because subscription credits reset each cycle and do not roll over, the lumpy, project-based workflows creators actually have waste part of the pool every quiet month. A modest roll-over cap or an in-product “credits expiring soon” nudge would soften the all-or-nothing reset. Tools like thresholding and alerting on usage are the standard pattern.

3. Tame the ~100x per-model cost spread.

A single credit buying anywhere from one image to a fraction of a Veo clip makes the wallet hard to reason about. Clearer in-product “this generation will cost N credits / you have M left” framing — and a simple cost-per-second-of-output comparison across models — would reduce the unpredictable-cost anxiety that pushes creators to over-buy.

Key takeaways

1. Meter in one credit currency across modalities. Luma runs video, image and audio through a single credit pool over many models — a flexible accounting layer that lets it re-price inference without touching plans.
2. Framing tiers by a multiplier hides the allowance. Selling Pro as “4x” and Ultra as “15x usage” keeps the credit pool flexible but makes self-qualification hard; published credit totals would shorten the buying decision.
3. Bundle commercial rights early to convert. Commercial use on the $30 entry plan turns free evaluators into payers the moment they need to ship — a clean monetization trigger.
4. Per-generation cost can swing 100x. The same credit buys a 1-credit image or a slice of a 140-credit Veo clip, so credit budgets only mean something once mapped to a specific model mix.
5. Run one inference platform through two motions. Seat-based app for creators plus a pay-as-you-go API for developers lets Luma serve both buyers off one metering system.

UBP implications

1. Credit currencies let GPU-bound businesses re-price the cost-of-goods layer continuously. Because Luma meters in abstract credits and only the per-model conversion changes, it can absorb shifts in inference cost (new models, third-party rate changes) without re-papering plans — a structural advantage of credit-based billing. See usage-based pricing strategy.
2. A usage multiplier is a packaging choice, not a value metric. Selling “4x / 15x usage” instead of a credit number is marketing-friendly but weakens self-qualification; UBP practitioners should weigh the flexibility of hidden allowances against the buyer-trust cost of opacity.
3. Fidelity (resolution, HDR) is an underused price axis. Tying credit cost to output quality (HDR 2x, EXR 3x) ties price directly to compute and lets a single product span casual and professional spend without separate plans.

Sources

• Luma AI pricing page (accessed 2026-06-11) — live capture: Plus $30, Pro $90, Ultra $300; Team & Enterprise “Contact us”; per-model credit grid
• Luma API pricing (accessed 2026-06-11) — per-generation dollar rates; HDR 2x, HDR+EXR 3x
• Dream Machine plans & credits — Luma Learning Hub (accessed 2026-06-11) — credits do not roll over; historical Lite/Plus/Unlimited credit totals
• Luma Dream Machine pricing 2026 — magichour.ai (accessed 2026-06-11) — third-party plan & free-tier summary
• Luma Dream Machine pricing breakdown — PhotonPay (accessed 2026-06-11) — third-party tier & hidden-fee summary

Bottom line

Luma AI prices Dream Machine as a clean per-seat ladder — Plus $30, Pro $90, Ultra $300 per month (up to 20% off annually) — wrapped around a single credit currency that meters video, image and audio across both Luma’s own models and a marketplace of third-party ones. Its sharpest design choice is also its biggest gap: tiers are framed by a “4x / 15x usage” multiplier rather than a posted credit total, so buyers can read the prices clearly but can’t self-qualify the allowance without mapping their model mix onto a per-generation grid where cost swings nearly 100x. Commercial rights bundled from the entry plan and a self-serve pay-as-you-go API make Luma a strong case study in how far a multi-modal credit model stretches before opacity gets ahead of transparency. Browse the pricing blueprint for more fully-researched company profiles.

Want to compare Luma AI against other generative-media and AI-platform companies? Browse the pricing blueprint.

Pricing timeline : Major events on a vertical axis

Each milestone below corresponds to a public pricing change, product launch, or material adjustment. Major events use a filled marker; minor adjustments use a faded one.

Plus $30 / Pro $90 / Ultra $300 Individual plans + multiplier usage + API

Jun 2026

Captured lumalabs.ai/pricing (USD): Individual plans Plus $30/mo, Pro $90/mo (4x usage with the Luma Agents), Ultra $300/mo (15x usage), each up to 20% cheaper yearly. Business plans Team and Enterprise are 'Contact us' (shared team credits, SSO, custom fine-tuning). Tiers are framed by relative usage multipliers rather than posted credit totals; a detailed per-model credit cost grid (video/image/audio) and a separate pay-as-you-go API sit alongside.

Dream Machine launches with a free credit allowance

Jun 2024

Luma launched Dream Machine (text/image-to-video) with a freemium model — a small monthly free credit allowance plus paid plans — establishing the credit-metered generation model that still underpins pricing today. Early plan tiers (Lite/Plus/Unlimited) were framed directly by monthly credit totals.