How much will OpusClip cost for your workload?
Enter video length, videos per week and clips — see source minutes, credits and plan, side-by-side with WeaverClip's GB-plus-processing math.
Reviewed 2026-08-17 · runs in your browser where noted · WeaverClip pricing
OpusClip Cost Calculator — what your workload actually costs in credits
Credit-based pricing is easy to market and hard to budget, because the unit that gets priced (credits) is not the unit you plan in (videos, hours, weeks). This calculator closes the gap in both directions at once. Enter your real workload — source video length, videos per week, weeks per month — and it computes the source minutes that drive everything, converts them into OpusClip credits and the plan that covers them, and lays the result beside the equivalent WeaverClip math in gigabytes and processing hours. No sign-up, no telemetry on your numbers; the arithmetic is displayed on the page so you can audit every step.
One honesty note before anything else: competitor pricing moves. The OpusClip numbers below are stamped with a verification date (2026-08-17, checked against opus.pro/pricing at the time), the calculator shows that stamp next to the results, and the rule around here is to re-check the pricing page before any purchase decision. Third-party 2026 reviews (for example CostBench and eesel.ai) describe the same four-tier ladder shape used here, but the authoritative source is always the vendor's own page.
How OpusClip's credit model works
OpusClip sells monthly plans bundled with credits, and the calculator runs on one stated assumption that the tool displays explicitly: one credit approximates one minute of uploaded source footage. Credit rules change — different features and re-renders can consume credits differently — so the assumption is printed next to the math rather than hidden inside it, and the verification date travels with the plan prices.
The plan ladder as implemented in the calculator:
| Plan | Monthly price | Credits included | |---|---|---| | Free | $0 | 90 | | Starter | $15 | 150 | | Creator | $29 | 300 | | Business | $79 | 900 |
The selection rule is smallest-covering-plan: the calculator finds the first plan whose credits meet or exceed your monthly source minutes. If no plan covers the workload, it reports the largest plan plus the explicit overflow — how many credits beyond the allowance your workload needs — because "you need Business plus extra credits or a different shape" is a fundamentally different budget fact than "you fit in Business."
Two consumption realities the calculator names but cannot fully model. Re-rendering clips costs more credits in OpusClip's system, so workflows that iterate heavily on the same footage consume more than one pass over the source minutes suggests. And storage rules are separate from credits — how long processed projects remain available follows its own terms, which matter if your workflow depends on returning to old uploads.
The math, shown step by step
The calculator prints its own audit trail, and reproducing it by hand is the point:
- Source minutes per month = average source length × videos per week × weeks per month. A 90-minute recording, three times a week, four weeks a month: 90 × 3 × 4 = 1,080 minutes.
- OpusClip credits needed = the source minutes (the 1:1 assumption). 1,080 credits.
- Plan lookup. 1,080 exceeds every tier's allowance; the result is Business ($79) plus 180 credits of overflow — extra purchases or a workflow change required.
- WeaverClip side, storage: source hours × 2.7 GB per hour (the footprint of a 6 Mbps single-canvas recording — six megabits per second times the 0.45 GB-per-hour-per-Mbps conversion). 18 hours × 2.7 = 48.6 GB single-canvas, 97.2 GB if you keep both landscape and vertical masters.
- WeaverClip side, processing: the same 18 source hours count against the monthly processing allowance for transcripts, captions, and clip suggestions.
- Plan fit by thresholds: Free carries up to 1 hour and 5 GB, Creator $15 up to 4 hours and 75 GB, Creator Pro $29 up to 8 hours and 150 GB, and Studio $129 beyond that. 18 hours lands in Studio.
Note the asymmetry the example exposes: the two models bill different things. OpusClip's number is driven purely by minutes uploaded; WeaverClip's by what you store and what you process. For the same workload, one model can be the bargain while the other is the splurge — which one depends on the workload's shape, and that is exactly what the calculator exists to show you for your own numbers.
One implementation detail, stated plainly: the "desired clips per video" field on the page is context for your own planning. The credit math keys on source minutes, because that is what the 1-credit-per-minute assumption prices; clip count does not multiply the estimate in this model. If OpusClip's credit consumption for re-renders matters to you, treat the estimate as a floor rather than a ceiling.
Four workload shapes, worked
Note for opusclip-cost-calculator: The workloads below are hypothetical examples — invented schedules used to show how the two models respond to different shapes, not real customers.
Shape 1 — the weekly podcast. One 45-minute episode a week, four weeks: 180 source minutes monthly. OpusClip: Starter ($15) covers 150… not quite — 180 lands in Creator ($29) with room to spare. WeaverClip: 3 hours and about 8.1 GB single-canvas — Creator ($15) covers both the hours and the storage. Same workload, different tier on each side, because minute-billing and hour-plus-GB billing slice the same pie differently.
Shape 2 — the daily short-form machine. Five 12-minute videos a week, four weeks: 240 minutes. OpusClip: Creator ($29) with 60 credits of headroom. WeaverClip: 4 hours, 10.8 GB — still inside Creator ($15). High-frequency, short-source workloads are where the two models stay closest.
Shape 3 — the long-form educator. Two 90-minute webinars a week, four weeks: 720 minutes. OpusClip: Business ($79), with 180 credits unused. WeaverClip: 12 hours, 32.4 GB — past the 8-hour band, so Studio ($129). Read that honestly: for a pure process-once-a-month flow with no archive reuse, the minute-billed product is cheaper here. The storage model only starts winning when the library becomes an asset — when the same footage gets re-clipped next quarter, feeds an evergreen series, or ships in both landscape and vertical masters, because all of that costs storage and processing hours, not fresh upload credits.
Shape 4 — the archive-heavy streamer. Three 3-hour streams a week, four weeks: 2,160 minutes. OpusClip: Business plus 1,260 credits of overflow — a workload the ladder simply does not cover, and the honest output says so in exactly those terms. WeaverClip: 36 hours and about 97 GB single-canvas — inside Studio's allowance, because the thresholds key on hours and GB rather than on how many times the pipeline runs. Both models hit pressure at this size, but they hit different pressure: one runs out of ladder entirely, the other bills a flat tier that still has headroom. Knowing which limit you are against is the entire budgeting question.
When OpusClip is genuinely the better fit
The calculator is built to say this when it is true, so the page says it too. If your footage already exists as finished files — no recording workflow to protect — and your pattern is short sources with many clips per upload, minute-billing can be the cheaper structure: you pay for exactly what you push through, carry no storage cost, and OpusClip's volume of automatic suggestions per minute of source is high. Upload-only creators who process each file once and move on are the canonical good fit, and for them the GB-plus-processing model spends on storage they never wanted. If that shape is you, the honest recommendation is to run both numbers and choose — the calculator's job is the numbers, not the loyalty.
When GB-plus-processing economics win
The opposite shape flips the math. Long sources, kept masters, and content with a future — series that get re-clipped, libraries that feed evergreen posts, dual landscape-and-vertical deliverables — are all storage-and-reprocessing patterns, and minute-billing charges fresh credits every time footage moves through the pipeline again, while a storage model charges for keeping and spends processing only when you actually generate something new. Three habits mark the GB-model winner: you record rather than upload (so the footage has to live somewhere anyway), you return to old footage within the year, and your source hours are large relative to your clip count. The calculator's WeaverClip card shows the exact allowances for that comparison — storage cap and processing hours per tier, with the fit verdict printed beside them.
Why the two models exist
Neither billing structure is arbitrary; each prices what its product is built around. A clip-first product bills the act of clipping — source minutes in, suggestions out — because that is where its costs concentrate. A record-and-vault product bills storage and processing because that is where its costs concentrate: verified delivery, kept masters, transcripts and captions generated on demand. The consumer consequence is simple and worth internalizing: when you compare these products on price, you are not comparing two prices for the same thing. You are comparing a meter on footage-throughput against a meter on footage-kept-plus-work-done. Workloads that flow through once favor the first meter; libraries that persist and get revisited favor the second. Every worked example above is one instance of that single rule.
Reading the verification stamp
Every number a pricing comparison uses has a half-life, and credit systems have the shortest one of all: vendors re-bundle plans, redefine what consumes credits, and run promotions that change effective prices, usually without version numbers. This page handles that reality procedurally rather than rhetorically. The plan ladder and the 1-credit-per-minute assumption both carry the same stamp — checked against the vendor's pricing page on 2026-08-17, with a stated commitment to re-check on a monthly cadence — and the calculator displays the stamp next to the estimate so the freshness of the data is part of the result. The habit it teaches is the one that matters: before any purchase decision, open the vendor's current pricing page and confirm the numbers yourself, because a comparison built on yesterday's ladder is a comparison about a product that no longer exists. When you find a change, the calculator's inputs still hold — your workload minutes are yours; only the plan table underneath them moved.
What happens at the limits
Both models have limit behavior, and both should be budgeted before they are met. In the credit model, running past the allowance means buying extra credits or jumping a tier mid-cycle, and the economics of mid-cycle top-ups are rarely published with the same clarity as the plans themselves — the overflow number the calculator shows is the prompt to check those terms for your specific tier. In the storage-plus-processing model, the allowances are caps on what the vault holds and what gets transcribed and analyzed each month; beyond them, overage pricing applies to extra storage (billed per gigabyte-month, with the current rate on the pricing page) and processing can be deferred to the next cycle or purchased additionally. The honest planning rule for both: model your busy month, not your average month. Workload varies seasonally for almost every creator — launch weeks, conference seasons, holiday content — and the month that breaks the budget is never the average one.
The decision tree, condensed
If the worked examples have a shared lesson, it compresses into four questions:
- Do you record, or do you upload finished files? Recording creates footage that must live somewhere, which pushes the storage question to the front; upload-only workflows can skip it.
- How many source minutes per month, really? Compute it from your actual schedule — length × frequency × weeks — not from your aspirational one. Both meters run on this number.
- Will you touch this footage again? Once-and-done processing favors the minute meter. Re-clipping, repurposing, and archive content favor the storage meter, increasingly so as the library ages.
- Which limit does your busy month hit? Check the ceiling behavior of whichever tier your average suggests, because the busy month is what you actually pay for.
Four answers, and the recommendation usually writes itself — sometimes in OpusClip's favor, which is exactly the outcome the calculator is designed to report without flinching.
Limits of this calculator, stated plainly
The 1-credit-per-minute assumption is an approximation: features differ in what they consume, re-renders add consumption the estimate does not model, and promotional credit packs change effective prices. Treat the OpusClip number as an order-of-magnitude floor for a single processing pass, and verify feature-specific consumption with the vendor if your workflow leans on re-renders. The WeaverClip side assumes 6 Mbps single-canvas footage for its storage arithmetic — the standard reference bitrate used across this site's calculators — and scales linearly for dual masters; if you record materially higher bitrates, scale the GB figure by the same ratio (the 0.45 GB-per-hour-per-Mbps constant makes that a one-line calculation). The fit thresholds are the current ones; plan catalogs change, and this page's stamp date applies to both sides of the comparison. And nothing here is a quote or a commitment: it is arithmetic on public numbers, displayed in full, for you to check.
FAQ
Why does the estimate use source minutes instead of clip count? Because the stated assumption prices uploads by the minute of source footage, and clip count does not multiply that cost in a single pass. If your iteration loop re-renders heavily, add headroom for the extra consumption rather than expecting the base estimate to cover it.
The two sides give different "best" plans for my workload. Which is right? Both are right — they answer different questions. The OpusClip figure is what minute-billing costs for your throughput; the WeaverClip figure is what storage-plus-processing billing costs for the same footage. The useful output is the gap between them and the reason for it, not a single universal answer.
Do the WeaverClip numbers include renders? The calculator shows storage and processing allowances; finished-clip render limits are a separate line on each plan and live on the pricing page. For workload budgeting, renders rarely bind before processing hours do — but check your own pattern if you produce at very high clip volume.
Is the Free tier really free in the comparison? Free means the stated free allowance with no card — on the OpusClip side, 90 credits as of the stamp date; on the WeaverClip side, the free tier's small vault and processing hour. Both are trial-scale allowances: useful for testing a workflow, not for running one.
Can I model a team workload? Enter the team's combined minutes as one workload for a first-order answer. Real team budgeting adds seats and shared-storage questions that per-account calculators approximate rather than capture; if that is your situation, use the calculator for the media math and take the seat question to each vendor's team pricing directly.
Why GB instead of "hours that move"
Storage-based pricing has one large honesty advantage: the number is checkable. A vault measured in gigabytes tells you exactly how much footage fits, because the conversion from your bitrate to GB is arithmetic anyone can run — and every calculator on this site runs it the same way, from the same constant. Time-based allowances sound friendlier ("hours of processing") but hide more, because an hour of processing is not a durable thing: it is used or gone at month's end, its relationship to stored footage is undefined, and two vendors' "hours" are rarely the same hour. The GB framing answers the purchase-decision questions in order: what you pay, how much footage that stores, how much of it gets transcripts and captions and clip suggestions each month, how many finished clips you can render, how long footage stays, and what happens at each limit. When you compare any two products in this category — not just these two — insist on those six answers in that order. A pricing page that cannot produce them is asking you to buy an abstraction.
The costs neither side prints
Every pricing comparison misses the costs that live outside the plan table, and naming them makes the comparison more honest, not less. Export and rendering time is real labor: whichever tool you choose, someone watches renders, fixes caption errors, and re-exports. Learning curve is real money: switching tools mid-workflow costs a week of slowed output, which is why the "try both on the same file" test is cheaper than adopting either on faith. Free tiers carry their own prices — watermarks, retention windows, and feature gates that turn the free tier into a demo rather than a destination — and those terms deserve the same reading the plan prices get. And the largest invisible cost is footage you lose because it was never stored anywhere durable: a clipping tool with no vault is a pipeline with no memory, and re-sourcing lost footage costs more than any tier difference ever will. None of these line items appear in either meter; all of them belong in the decision.
A note on credits versus allowances as mental models
The deepest difference between the two models is psychological, and it affects behavior more than budget. Credit meters make spending feel transactional — every upload visibly spends something — which nudges workflows toward processing less, uploading selectively, and sometimes skipping footage that would have been worth keeping. Allowance meters make spending feel periodic — the month's storage and processing are already paid for — which nudges toward recording freely and deciding later what to process. Neither nudge is wrong; they are different, and they reward different creator temperaments. The selective processor who clips tight and moves fast often prefers the transactional feel; the archivist who believes the best clip is usually in footage they almost deleted often prefers the allowance. Knowing which temperament runs your workflow is worth as much as the arithmetic when you choose between meters.
What if my source footage is not 6 Mbps? The storage side scales linearly with total bitrate: multiply your hours by 0.45 and by your actual Mbps total (video plus audio) instead of using the 2.7 GB/hour reference figure. A 12 Mbps recording occupies 5.4 GB per hour, exactly double; the fit verdicts may move up a tier even when the hours do not.
Does this page favor WeaverClip? The page is built by WeaverClip, and you should weight that fact openly. What it is built to prevent is a recommendation the numbers do not support: the math is printed, the assumptions are stamped, the overflow case says "this plan does not cover you" when true, and the OpusClip-favorable shapes are named as such. If the arithmetic for your workload says the other product fits better, the correct response is to buy the other product — and to remember this comparison exists when your shape changes.
How often do the plan tables here get re-verified? The stated cadence is monthly, with the verification date stamped beside the numbers; any change to a vendor's ladder gets the stamp updated and the examples re-checked in the same pass. If the stamp you are looking at is more than a couple of months old, treat the plan figures as historical and confirm against the vendor's live pricing page before deciding.
Protect the next recording — verified before delete
If this calculator says your 4-hour stream will use ~22 GB, WeaverClip's OBS helper can upload each one-minute segment as the next minute records and only queue local deletion after byte-count + MD5 verify. Missed segments stay and retry. That is the difference between a number and a guarantee.
- WeaverClip plan catalog — storage GB, processing hours, overage $0.04/GB-month
- OBS container behavior — MKV vs MP4 moov — verified via ffmpeg/ffprobe and WeaverClip recovery checker (client-side probe)
- Platform safe zones — measured against YouTube Shorts / TikTok / Reels overlays, 2026-08-17
- Competitor pricing — OpusClip cost page stamped 2026-08-17, re-verified monthly; dataset versioned

