Wan Video cost guide
★★★★★ 4.5 CE

Wan Video Hosted Costs, Self-Host & Discounts: 2026 Guide

Wan Video runs $20.92 to $62.90 a month with no free plan, and credits reset monthly. The same model is open-source under Apache 2.0, so with GPUs you can self-host it free. Here is the real cost.

Typical annual cost

$251-$755

Starter to Enterprise over a year on the hosted plans; self-hosting the open weights costs nothing but hardware

Hidden fees

Yes

credits reset monthly, clips run short, and the self-host route carries an unpublished GPU cost

Free tier

Self-host only

no free hosted plan, but the model weights are free under Apache 2.0 if you run them yourself

Cost transparency

Medium

scores 4 of 6 on our transparency checklist

Wan Video cost, summed up

High· Verified July 15, 2026

Wan Video really costs $20.92 a month on Starter, $34.90 on Pro and $62.90 on Enterprise as of July 15, 2026, with no free hosted plan and monthly credits that do not carry over. At about five credits a video, Starter covers roughly 20 clips. The tiers add credits and parallel tasks, not features. The twist is that the Wan model is open-source under Apache 2.0, so with your own or rented GPUs you can run it for nothing. The real decision is hosting versus self-hosting.

  • Starter, monthly$20.92/mo
  • Pro, monthly$34.90/mo
  • Enterprise, monthly$62.90/mo
  • Starter credits100/mo
  • Per video~5 credits
  • Self-hostFree weights
  • Free hosted planNone
Weighing hosted plans against self-hosting? The pricing email generator below drafts a volume or hosting inquiry with live rival prices from our catalog.
Free tier
Self-host
Hidden fees
Credits reset
Open weights
Apache 2.0
Negotiable
Self-serve

At $20.92, Wan Video's Starter plan runs about 23 percent above the median across the 13 AI video tools we track, though the open weights let you skip the subscription entirely.

Wan Video costs and the self-host escape

Wan Video sells hosted access to a model you can also run yourself, and that fact shapes every cost question. The three plans are Starter at $20.92 for 100 credits, Pro at $34.90 for 200, and Enterprise at $62.90 for 500. At roughly five credits a video, that works out to about 20, 40 and 100 videos a month. Credits reset monthly with no carryover, so an unused month is simply gone. There is no free hosted tier, so testing the service means paying from the first plan.

The tiers barely differ except in capacity. All three include the full Wan model series, text-to-video, image-to-video and video effects, with watermark-free output. What actually changes as you climb is the credit pool and the number of parallel tasks, from one on Starter to five on Enterprise. So you are not buying more features up the ladder, only more throughput. That makes the plan choice a pure volume decision, which the Wan Video plan detail lays out.

The real lever sits outside the plans entirely. The Wan weights are open-source under Apache 2.0, free to download and run on your own hardware. So the hosted subscription is really paying to skip the GPU setup, not to license the model. With capable or rented hardware, self-hosting removes the per-credit cost completely. The trade is the VRAM, the setup skill and the slower inference the cons describe. Weigh that before you commit to a monthly plan.

Credits reset every month

At roughly five credits a video, Starter's 100 credits cover about 20 clips, and the allotment does not carry over. An unused month is lost, so size the plan to steady output rather than an occasional burst.

You pay for parallel tasks

The tiers differ mainly in throughput: one parallel task on Starter, up to five on Enterprise. So the step up buys speed and volume, not new capabilities, since every plan already has the full feature set.

Clips run short

Wan generates roughly two to four second clips, so longer pieces need stitching and re-rendering. That multiplies the credit cost of any real sequence beyond what the per-video count suggests on the plan card.

Self-host hides a hardware cost

The open weights are free, but running them needs significant VRAM and setup skill, and inference is slower than a closed API. The subscription really buys you out of that hardware and effort, at a monthly price.

Enterprise is just more credits

The Enterprise plan at $62.90 adds credits and parallel tasks, not enterprise features or a sales contact. It is a bigger consumer bucket, so treat the name as a capacity label rather than a negotiated tier.

Wan Video price options, including free weights

Wan Video lists no student, teacher or nonprofit rate, and there is no annual plan to discount either. The prices are flat monthly figures. A look over its pricing page in July 2026 surfaced no education tier and no promo codes, which is expected for a small self-serve service. The genuine cost lever is not a coupon at all; it is the choice between paying for hosting and running the open model yourself.

That choice has three shapes. You pay Wan's hosted plans for convenience, self-host the free Apache 2.0 weights on your own GPUs, or rent GPU time on demand from a service like RunPod or Vast.ai. For batch or occasional use, rented GPU time is often cheaper than a monthly subscription. Hosted-inference platforms like Replicate go further, letting you pay per generation without managing drivers. The tactics below work through which fits which usage.

So the honest discount on Wan Video is architectural. If your volume is steady and modest, the hosted plans are simple and cheap enough. If it is heavy, bursty, or you already own GPUs, the free weights or rented compute will usually beat the subscription. Because the model is the same either way, the only question is who runs the hardware, and that answer sets your real cost.

Self-host the weights for free

The Wan model is open-source under Apache 2.0, so the weights cost nothing. With your own capable GPUs, you skip the subscription entirely and pay only for hardware and the time to set it up.

Rent GPUs for intermittent work

Services like RunPod or Vast.ai offer on-demand GPU time, which is often cheaper than a monthly plan for batch or occasional use. You run the open weights and pay only for the hours you actually compute.

Pay per generation on Replicate

Hosted-inference platforms such as Replicate run Wan for you and bill per generation, with no drivers to manage. It is a middle path between the hosted plans and full self-hosting, priced by what you use.

No education or promo rate

Wan publishes no student or nonprofit program and runs no coupon codes. The savings are all structural, so there is nothing to apply for, only the hosting decision to make.

Lowering a Wan Video plan, or leaving it

Wan Video has no sales team and no quote, so there is no rate to talk down. The prices are flat and self-serve. What changes your real cost is an architecture decision, not a negotiation, and for Wan that decision is unusually consequential because the model is free to run yourself.

Three routes cover most situations, and the right one depends entirely on your volume and hardware.

Match the hosted tier to steady output

Target
Light, regular use
Argument
If your output is modest and predictable, the hosted plans are the simplest option. Size the tier to your monthly video count at about five credits each, since credits reset with no carryover and an over-bought plan wastes money.
Expected discountStops wasted credits

Rent GPUs for bursty work

Target
Batch or occasional runs
Argument
For intermittent or batch generation, on-demand GPU time on RunPod or Vast.ai often beats a monthly subscription. You run the free weights and pay only for the compute hours you use, which suits uneven workloads.
Expected discountPay only for compute

Self-host if you own the hardware

Target
Heavy, steady use
Argument
With capable GPUs already on hand, the Apache 2.0 weights remove the per-credit cost entirely. Test on your actual hardware first, since inference is slower than a closed API and the setup takes real skill.
Expected discountRemoves subscription

When to weigh Wan Video against self-hosting

There is no promo cycle or sales quarter to time here, so the decision is purely about your own trajectory. The moment to reconsider a hosted plan is when your monthly output climbs toward the Enterprise ceiling, or when your usage turns bursty. At either point the free weights or rented GPU time start to look cheaper than a flat subscription. Model the switch before you renew another month of hosting.

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Pro tip: Before committing to any tier, test the open weights on your actual GPU, or a rented one, to see whether the slower inference and setup effort are acceptable. That single trial tells you whether the hosted plan is buying convenience worth paying for, or a cost you could remove.

Wan Video costs that give, and the self-host lever

Wan Video barely negotiates as a service, since the plans are flat and self-serve with no sales contact. What genuinely moves your cost is the hosting model, where the free open weights give you a walk-away option most tools in this category cannot offer.

Usually negotiable

  • Hosted plan versus self-hostingHIGH
  • On-demand GPU rental for burstsHIGH
  • Which tier matches your outputMEDIUM
  • Hosted-inference per-generation rateMEDIUM

Rarely negotiable

  • The three flat monthly plan prices
  • Monthly credit reset with no carryover
  • The short clip length
  • The feature set, which is identical across tiers

Wan Video negotiation email generator

Wan Video is self-serve, so this draft is a volume or hosting question rather than a haggle. It asks whether a bulk arrangement or hosted-inference option beats the monthly plans, using real rival prices from our catalog as a benchmark. Fill in your inputs, copy the draft, and forward it to Wan Video support or a hosted-inference provider. Pairing your monthly video count with a competitor's number gives the request something concrete to sit against.

What you are buying

for output beyond the Enterprise plan's 500 credits

Team size
Decision deadline
Contract length
SubjectWan Video Pricing Discussion - [Your company]
Hi Wan Video team,

I lead tooling decisions at [Your company], and we are evaluating Wan Video Team seats for a team of 10-50 people.

As part of this evaluation we are also looking at Pika, which comes in at $10/mo, and Runway at $15/mo, $12 billed annually. Can you help us understand the value difference at your current rates?

We are ready to commit to an annual term. What is the best rate you can offer on annual billing, and can you cap the renewal price in the contract?

We are aiming to sign before the end of this quarter, and budget sign-off is already in place.

Could you share a proposal covering the per-seat or per-credit rate, the renewal terms, and any programs we qualify for?

Best regards,
[Your name]
[Your company]

Send it Tuesday to Thursday, and follow up once after 3 business days.

Before you send

  • State your monthly video count and clip length; a concrete volume gets a useful answer.
  • Message on a weekday, when a small support team is most likely to respond.
  • Ask whether a bulk or hosted-inference rate beats stacking the monthly plans.
  • Name a comparable rival for context; the draft supplies its price.
  • Request any per-generation or bulk rate in writing so you can weigh it against self-hosting.

Wan Video plan errors that overspend

Each of these comes from treating Wan Video as a closed service, when its open model gives you cheaper routes.

Paying a hosted plan for heavy use. If you own GPUs, the free Apache 2.0 weights remove the per-credit cost entirely.

Subscribing monthly for bursty work. On-demand GPU rental usually beats a flat plan when your usage is uneven.

Over-buying a tier for a peak. Credits reset with no carryover, so a plan sized for your busiest month wastes credits in quiet ones.

Reading Enterprise as a premium tier. It only adds credits and parallel tasks, not features or support, so pay for it purely on volume.

Ignoring clip length. Two to four second clips need stitching, so a real sequence costs more credits than the per-video count implies.

Wan Video alternatives, hosted and open

Wan Video's strongest card is that you can leave it for its own free weights, but named hosted rivals sharpen the comparison too. These three come from our catalog and cover the same short-form ground at a range of prices. Trial one against your prompts before deciding, and weigh it against simply self-hosting Wan. The full lineup is on the Wan Video alternatives page.

Is Wan Video worth paying for? A plain verdict

Wan Video's hosted plans are fairly priced for what they are, a convenience layer over an open model. At $20.92 to $62.90 a month with no free tier, they are cheap enough for steady, modest output, and the watermark-free result across every tier is a genuine plus. The honest catch is that you are paying to avoid running a model that is free to download. So the value depends entirely on whether you want to manage the hardware.

So make the architecture call first. For light, predictable use, size a hosted tier to your monthly videos at about five credits each, and remember credits do not carry over. For bursty or batch work, rent GPU time on demand instead. If your volume is heavy and you have capable hardware, self-host the Apache 2.0 weights and drop the subscription, accepting the slower inference and setup effort as the trade.

Handle it that way and Wan Video is a reasonable deal or an easy skip, depending on your GPUs. Pay a hosted plan for heavy work you could run yourself and you overspend quietly every month. The tier and credit breakdown lives on the Wan Video plan page. This walkthrough was about whether to pay for hosting at all.

Wan Video pricing and discount FAQ

What do Wan Video's plans cost?

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Wan Video runs $20.92 on Starter, $34.90 on Pro and $62.90 on Enterprise a month, with no free hosted plan. Each tier is a monthly credit pool: 100 credits on Starter for about 20 videos, 200 on Pro, and 500 on Enterprise. At roughly five credits a video, the plan you need follows your output. The tiers add credits and parallel tasks rather than features, so every plan produces watermark-free clips with the full model set, and the choice is purely about volume.

Is Wan Video free to use anywhere?

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Not on the hosted service, but yes through self-hosting. There is no free hosted plan, so using create.wan.video means paying from the $20.92 Starter tier. However, the Wan model weights are open-source under Apache 2.0, which means you can download and run them on your own hardware for nothing beyond the compute. So the free route exists, it just requires capable GPUs and the skill to set them up, which is exactly what the paid plans let you avoid.

Do unused Wan Video credits carry over?

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No. Each plan's monthly credit pool resets when the cycle ends, and whatever you have not spent disappears. At about five credits a video, Starter's 100 credits cover roughly 20 clips, so a light month leaves nothing to bank. That makes over-buying a tier as wasteful as running short, and it is a strong reason to size your plan to steady output rather than an occasional peak. If your usage is uneven, renting GPU time or self-hosting sidesteps the reset entirely.

Is it cheaper to self-host Wan Video?

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It can be, and often is at volume. The model weights are free under Apache 2.0, so self-hosting removes the per-credit subscription cost completely. What you pay instead is hardware: you need significant VRAM, the skill to set it up, and you accept slower inference than the hosted service. For heavy, steady output on GPUs you already own, that trade usually wins. For light or occasional use, the convenience of a hosted plan, or renting GPUs on demand, is often the better value.

What is the difference between Wan Video's tiers?

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Mostly capacity, not capability. All three plans include the full Wan model series, text-to-video, image-to-video and video effects, with watermark-free output. What changes as you move up is the monthly credit pool, from 100 to 500, and the number of parallel tasks, from one on Starter to five on Enterprise. So higher tiers buy more throughput and volume, not new features or a sales contact. Choose the tier on how many videos you make and how fast you need them, nothing else.

Does Wan Video have education pricing?

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No published one. As of July 2026 Wan Video lists no student, teacher or charity program, and there is no annual plan to discount either, since the tiers are flat monthly prices. The real saving is not a coupon but the hosting decision: the open weights are free to self-host, and on-demand GPU rental can beat a subscription for uneven work. So rather than hunting for a code, weigh whether to pay for hosting at all against running the free model yourself.

Should you rent GPUs instead of subscribing to Wan Video?

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For bursty or batch work, often yes. Because the weights are open, you can run Wan on rented GPU time from services like RunPod or Vast.ai. You pay only for the hours you compute, which suits uneven workloads better than a flat monthly plan. Hosted-inference platforms such as Replicate go further, billing per generation with no drivers to manage. The hosted plans win mainly when your output is steady and modest enough that the simplicity is worth the fixed price.

How do you avoid overpaying for Wan Video?

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Start by deciding who runs the hardware. For light, steady output, size a hosted tier to your real monthly video count, since credits reset with no carryover and over-buying wastes money. For bursty work, rent GPUs on demand and run the free weights. For heavy, regular use on hardware you own, self-host under Apache 2.0 and drop the subscription. Because the model is identical across all three routes, matching the hosting choice to your volume is the whole cost strategy.

Sources & verification

Verified by ComparEdgeMethod: Vendor docs and official pages
SourceWhat was checkedLast checked
Wan Video official pricingVerified plan prices, renewal rates and credit allowancesJuly 15, 2026
Wan Video websiteOfficial vendor websiteJuly 15, 2026
Wan Video pricing on ComparEdgeCurrent prices for every plan, with the cost calculatorJuly 15, 2026

Every fact on this Wan Video pricing page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.