What Does a Try-On API Cost in 2026? Honest Pricing Breakdown

Choosing a virtual try-on API is harder than comparing a normal SaaS plan. Some vendors sell monthly credits, some meter usage on GPU-seconds, some hide dollar pricing behind purchase buttons, and some publish only a free starter tier or a low-entry plan. That makes the cheapest option depend on how you buy, how often you call the API, and whether you need higher resolution or webhooks.

Why try-on API pricing is hard to compare

A fair comparison starts by separating pricing models, because the same headline number can mean very different things. One provider may sell a subscription with monthly credits. Another may sell pay-as-you-go usage in credits. Another may meter model runtime. Others may publish only a small entry tier and leave the rest behind a sales flow.

• Subscription pricing can include credits that renew monthly, and sometimes extra top-up credits.
• Pay-as-you-go pricing may still be expressed in credits, not direct dollar cost per try-on.
• GPU-second pricing changes with runtime, so the per-try-on cost varies.
• Some public pages show entry tiers, but not the full dollar pricing for every plan.
• Resolution, retries, multi-garment support, and webhooks can change what you actually pay or how far a plan goes.

Because of that, the most honest way to compare providers is to use only what is publicly verified, then call out what is not publicly listed rather than filling in the blanks.

TL;DR table: lowest paid tier across providers

FASHN.ai pricing breakdown

FASHN.ai publishes a clear set of entry points. The public pricing page shows a subscription model with monthly credits, plus optional credit top-ups.

• Free: 10 credits on signup.
• Basic: $19/mo for 200 credits.
• Pro: $49/mo for 750 credits plus 50 credits per day.
• Agency: $99/mo for 1,500 credits plus 100 credits per day.
• Top-up credits: $0.10 per credit, 100 minimum, valid for 12 months.
• Up to 4K image generation is publicly listed.

What this means in practice is straightforward: the company publishes the plan prices and the credit structure, but the per-try-on cost is not publicly broken out. If your buying process depends on exact per-call economics, you will need to map your own usage against the published credit bundle.

FitInView pricing breakdown

FitInView publishes a straightforward developer pack lineup on its developers page. The public pricing is shown as try-on bundles at 1K resolution, and credits never expire.

The public facts also say that higher resolutions, 2K and 4K, cost more credits. That means the published try-on bundle price is the starting point, not the full story if you plan to run higher-resolution outputs.

• API authentication uses Authorization: Bearer fiv_xxx.
• Test keys with prefix fiv_test_ return mock responses and do not charge.
• POST /api/v1/tryon submits a job and returns id and status.
• GET /api/v1/jobs/{id} polls a job and returns id, status, and result_url.
• GET /api/v1/account shows credits remaining and rate-limit headroom.
• Webhooks are supported for completion callbacks, delivered to an HTTPS webhook_url.

For teams comparing vendors, FitInView is notable because it publishes actual pack prices and try-on counts, which makes budget planning easier than with providers that only show a sales gate or an entry tier.

FitRoom pricing breakdown

FitRoom’s public pricing page confirms that it offers pay-as-you-go plus subscription tiers, but dollar pricing is not publicly displayed on the page. The page does publish some usage details.

• Try-on is listed as 1 credit.
• Clothes and model checker is listed as 0.5 credit.
• Multi-garment support is publicly mentioned, including upper, lower, full-body, and top plus bottom combo.
• Up to 2048px resolution is publicly listed.
• Webhooks are not mentioned on the public pricing page.
• Dollar pricing is gated behind purchase buttons.

That gives buyers enough information to confirm feature fit, but not enough to compare final dollar cost without entering the purchase flow.

Segmind pricing breakdown

Segmind publishes a more infrastructure-like pricing model. The public pricing page shows a PAYG entry tier at $10 and a Pro plan at $39/mo with $50 monthly credits. It also states that the platform hosts many open-source try-on models, without naming specific models here.

• PAYG entry: $10.
• Pro: $39/mo with $50 monthly credits.
• Pricing is per GPU-second on serverless models.
• Per-try-on dollar cost varies by model runtime.
• Because runtime varies, a fixed per-try-on price is not publicly provided.

This model can work well for teams that understand runtime-based consumption, but it is harder to estimate before testing because the public pricing is tied to execution time, not a single fixed try-on rate.

tryon-api.com pricing breakdown

tryon-api.com publishes a free Starter tier and a Growth tier at $99/mo, with higher tiers also available. It also supports callback completion flows. However, the exact per-call rate is not publicly listed, and tier allowances are not fully published.

• Free Starter tier is available with a low session allowance.
• Growth starts at $99/mo.
• Higher tiers exist.
• Webhooks are supported.
• Per-call rate is not publicly listed.
• The monthly session allowance details are not publicly published.

For buyers who want exact unit economics up front, the missing allowance details make this harder to compare directly against providers that publish pack sizes or credit counts.

Hidden costs every buyer should ask about

The public price is only one part of total spend. Before committing to any try-on API, ask about the items below so you can compare vendors on the same basis.

• Image hosting, whether you host source images yourself or pass public URLs.
• Retries, including whether failed or repeated jobs consume credits or sessions.
• Multi-garment support, since some products count combinations differently.
• Resolution upgrades, especially if 2K or 4K outputs consume more credits.
• Webhook support, because callbacks can reduce polling overhead and simplify integration.
• Plan limits, such as monthly credits, daily allowances, or session caps.
• Whether free tiers are for testing only or can support production experiments.

Some of these questions are technical, but they matter to finance teams too. A plan with a lower public sticker price can become more expensive if it requires more retries, limits resolution, or does not support the workflow you need.

Free tiers compared

Free tiers are useful for validation, but they are not all equivalent.

For developers, test keys and mock responses can speed up integration work without spending credits. For decision-makers, a free tier or test mode is best used to measure image quality, retry behavior, and workflow fit, not to estimate long-term unit cost.

Volume considerations

Which provider scales best depends on the buying model you prefer and the workload you expect.

• If you want the clearest public pack economics, FitInView is the easiest to calculate from the published try-on bundles.
• If you want a subscription with published monthly credits and top-ups, FASHN.ai is transparent on plan structure.
• If you need credit-based operations with multi-garment support, FitRoom publishes the workflow facts, but not the dollar amounts.
• If you care about runtime-metered infrastructure-style pricing, Segmind is explicit that cost varies by GPU-second and model runtime.
• If you want a free starter entry with webhooks, tryon-api.com publishes those facts, but not the per-call rate.

At higher volumes, the most important question is not just the headline price, but whether the public plan structure fits your usage pattern. A bundle with more included try-ons can be easier to forecast than a metered runtime model, while a usage-based plan can be better if your traffic is irregular.

What to compare before you buy

Here is a short checklist you can use across vendors:

• Is the published price a subscription, a credit bundle, or usage metering?
• Is the per-try-on cost publicly shown, or do you need to infer it from credits?
• Are higher resolutions priced separately?
• Are webhooks supported on the public plan?
• Is multi-garment support included?
• Are free or test keys available for integration work?
• Are volume discounts or higher tiers publicly listed?

If a vendor does not publish the price you need, the safest answer is not to guess. Treat it as not publicly listed and ask sales or support for a written quote.

Conclusion

There is no single universal try-on API price in 2026. The fair comparison depends on whether the provider sells credits, subscriptions, pay-as-you-go usage, or GPU-second metering. Among the vendors reviewed here, FitInView is unusually clear on pack pricing, FASHN.ai is clear on subscriptions and top-ups, FitRoom is clear on credit usage but not dollar pricing, Segmind is clear on runtime metering, and tryon-api.com is clear on entry tiers but not per-call rates.

Practical next step, write down your expected monthly volume, resolution needs, and whether you need webhooks or multi-garment support, then compare only the publicly verified numbers before you request a trial or quote.