Procurement · Published 2026-04-29

Rev vs 3Play vs Verbit vs GlossCap: pricing breakdown for mid-market L&D teams

If you are an L&D, enablement, or training-operations lead at a 50–500-employee org and you have three captioning-vendor demos on the calendar this week, the question on the procurement form is not "which model is most accurate" — it is "what does this cost, in dollars, at the volume we actually run." That number is harder to extract than it should be. Rev publishes per-minute rates but the human tier is a different SKU. 3Play does not publish rates at all and routes you through a sales call before you see a quote. Verbit's entry tier is a wedge into an enterprise contract that does publish rates, just not on the website. GlossCap publishes flat monthly tiers. This post is the side-by-side: real numbers, three real volume tiers (5, 15, and 30 hours of training video per month), one table per vendor, one synthesis table at the end. The procurement-objection chain at the bottom is the part you can forward to finance.

TL;DR

At 5 hrs/mo, the four vendors land within $40 of each other on AI-only pricing — the per-minute models look cheap because the volume is low. At 15 hrs/mo, the gap widens: GlossCap Team at $99 is 1.5× cheaper than Rev AI ($150), 1.8× cheaper than 3Play AI ($180), and 4.6× cheaper than 3Play human-reviewed ($457). At 30 hrs/mo (the hour-count where the mid-market case matures), GlossCap Team at $99 is 4.5× cheaper than Rev AI, 3.6× cheaper than 3Play AI, and 27–46× cheaper than the human-reviewed tiers at Rev or 3Play. Verbit's entry tier looks comparable at $29/mo, but the vocabulary-adaptation features that make Verbit Verbit live behind a $33K–$75K/year enterprise contract — at the 30 hrs/mo volume, that contract is $2,750–$6,250/mo on its own. The break-even — the point where flat-monthly beats per-minute — is at roughly 6.6 hrs/mo against Rev AI, 8.0 hrs/mo against 3Play AI, and under 1 hr/mo against any human-reviewed tier. If your monthly training-video volume crosses 5 hours and stays predictable month over month, flat-monthly is the structurally correct shape and the per-minute pricing model is a tax on volume you already know you have.

Why the four vendors price differently

The pricing models are not arbitrary; each vendor's price shape reflects the buyer they were originally built for and the cost structure they incur on each transcript. Understanding the shape upfront makes the dollar comparisons later in the post easier to read.

Rev is a general-purpose transcription marketplace originally built for journalists, podcasters, legal staff, and general business users. Per-minute pricing matches a buyer with episodic, unpredictable workload — a journalist transcribing one interview, a podcaster shipping one episode, a paralegal pulling one deposition. Rev's cost on each transcript scales linearly (compute time on AI; transcriber pay on the human tier), so the price scales linearly. AI-only is around $0.25/min; human-reviewed is in the $1.50–$2.00/min band depending on turnaround.
3Play Media is an enterprise media-accessibility platform — captioning, subtitling, audio description, translation, the full suite — originally built for higher-education institutions, broadcast media, corporate marketing, and government. Per-minute pricing is volume-discounted on negotiated annual contracts. The publicly-quoted figures we have come from public university rate cards (e.g. Cornell IT) and aggregator pages: AI-only around $0.20/min, standard human-reviewed in the $1.75–$2.50/min band, premium human-reviewed higher. Express tier is for one-offs; Pro tier caps usage at 10 hours per year (yes, year, not month — meaningfully tighter than the Pro name implies).
Verbit is an enterprise transcription platform with a proprietary adaptive ASR engine (Captivate™) and deep higher-ed, legal, and broadcast integrations. Verbit's pricing is dominated by annual enterprise contracts in the $33K–$75K/year range, sourced from third-party aggregators (G2, Capterra, Software Advice, sonix.ai). The entry-level $29/mo tier exists, reportedly covering around 20 hours, but the features that make Verbit excellent — vocabulary adaptation from your uploaded content, LMS integrations, dedicated support — live on the enterprise contract. The entry tier is a lead-generation wedge into a sales motion, not the actual product.
GlossCap is a single-purpose L&D-training-video captioning tool with a company-glossary moat — Notion, Confluence, or Google Docs ingested directly into the decoder prompt. Pricing is a flat monthly subscription: $29/mo for the Solo tier (5 hrs, pasted-terms glossary), $99/mo for the Team tier (30 hrs, sync glossary, 5 seats, LMS webhooks), $299/mo for the Org tier (unlimited hours, SSO, custom glossary model). No annual commit, no sales call, sign up with a card. Cost-side: GlossCap incurs a Whisper-API spend per captioned hour that is well below the price floor of a single-hour Solo or Team subscription, so flat-monthly is sustainable and matches a buyer with predictable monthly workload.

Two structural facts fall out of this. First, three of the four vendors (Rev, 3Play, Verbit) charge by the minute or by the year, not by the month. Second, the per-minute and per-year shapes both work cleanly when the underlying volume is variable or unknown — and both work badly when the volume is the consistent 10–30 hours a month a mid-market L&D team produces. The pricing-model mismatch is the load-bearing observation under the dollar tables that follow.

Vendor-by-vendor pricing detail

Each subsection below uses the same template: the published or industry-typical rate, the SKUs, the gotchas, and the cost at three volume tiers. All figures are in USD per month. The 30-hr column is the canonical mid-market L&D figure (it maps to the typical output of a 50–500-person enablement team running weekly product training, onboarding modules, and compliance refreshers). The 5-hr column is the small-pilot figure. The 15-hr column is the median.

Rev

SKU	Rate	5 hrs/mo	15 hrs/mo	30 hrs/mo
Rev AI (automated)	~$0.25/min	~$75	~$225	~$450
Rev human (standard turnaround)	~$1.50/min	~$450	~$1,350	~$2,700
Rev human (rush)	~$2.00/min	~$600	~$1,800	~$3,600

Rev's published rate card is the cleanest of the four to extract dollar figures from. The AI tier is genuinely cheap at low volume — at 1 hour/month it is $15, against a $29 GlossCap Solo plan that bundles glossary and a 5-hour cap. For one-off transcription, Rev AI is the right tool and our Rev alternative page says so explicitly. The structural mismatch shows up at the L&D volume bands: at 30 hrs/mo, AI is $450 and human-reviewed is $2,700–$3,600. The 30-hour AI figure is the comparison the GlossCap Team plan was designed to win — $99 flat versus $450 variable, with glossary biasing built into the capture step rather than a feature you add later.

One detail worth surfacing: Rev's custom-vocabulary feature is API-only, which means the L&D operator who uploads through the Rev web app does not get glossary support — only the engineer integrating the API does. For a 150-person SaaS enablement team without an engineer assigned to caption pipelines, that gap is operational, not theoretical. The full head-to-head on glossary, turnaround, audit posture, and LMS delivery lives at Rev vs GlossCap.

3Play Media

SKU	Rate	5 hrs/mo	15 hrs/mo	30 hrs/mo
3Play AI	~$0.20/min (volume-quoted)	~$60	~$180	~$360
3Play human (standard)	~$1.75/min	~$525	~$1,575	~$3,150
3Play human (premium)	~$2.50/min	~$750	~$2,250	~$4,500
Pro plan (one-time)	$199/year, capped at 10 hrs/year	n/a (caps below 5 hrs/mo at 10 mo of annual usage)	n/a	n/a

3Play does not publish rates on its website. The figures above are industry-typical — the AI rate is sourced from public university rate cards (the Cornell IT page is the canonical reference), and the human-reviewed band comes from third-party reviews (G2, Capterra, sonix.ai aggregator). Your actual quote will differ. The Pro plan deserves a callout: at $199/year and 10 hours of annual usage, it works out to roughly $1.99/min on a per-hour basis once you cross the cap (which a 5-hr/mo team does in two months), at which point you are quoted into one of the rows above. The Pro tier is structured for users who genuinely have 10 hours of one-off captioning a year, not for L&D teams.

3Play's product strengths are real and worth crediting. The platform supports 10+ caption file formats, bundles audio description, runs translation in 25+ languages, and ships VPAT/HECVAT/SOC 2 compliance documentation that enterprise procurement teams actually need. None of those features are usefully accessible from the AI tier — they sit behind the human-reviewed tiers and the enterprise sales motion. The full head-to-head is at 3Play vs GlossCap.

Verbit

SKU	Rate	5 hrs/mo	15 hrs/mo	30 hrs/mo
Entry tier (reported)	~$29/mo, ~20 hrs/mo	$29	$29 (under cap)	capacity-blocked at ~20 hrs
Enterprise low (reported)	~$33K/year	~$2,750/mo	~$2,750/mo	~$2,750/mo
Enterprise high (reported)	~$75K/year	~$6,250/mo	~$6,250/mo	~$6,250/mo

Verbit's pricing requires more interpretation than the other three. The entry tier and the enterprise contract are not on a continuum — they are two different products that happen to share a brand. The entry tier reportedly covers around 20 hours per month for $29, which is genuinely competitive with GlossCap Solo on hour-count but does not include the Captivate vocabulary-adaptation features, the dedicated support, or the LMS integrations that anchor Verbit's enterprise value proposition. At 30 hrs/mo the entry tier hits its capacity ceiling and the buyer is routed to the enterprise sales motion — a $33K–$75K/year contract that, on a monthly basis, is between $2,750 and $6,250. Even the low end is roughly 28× the GlossCap Team plan.

The enterprise contract is the right answer for a higher-ed institution doing live lecture capture across hundreds of courses, a law firm with court-grade depositions, or a broadcast media outlet with FCC-grade compliance requirements. It is the wrong answer for a 150-person SaaS enablement team with weekly training videos and a flat budget. The full head-to-head on vocabulary-adaptation, turnaround, audit posture, and LMS delivery is at Verbit vs GlossCap.

GlossCap

SKU	Rate	5 hrs/mo	15 hrs/mo	30 hrs/mo
Solo	$29/mo, 5 hrs/mo cap	$29	over-cap (use Team)	over-cap (use Team)
Team	$99/mo, 30 hrs/mo cap, 5 seats	$99	$99	$99
Org	$299/mo, unlimited hours, SSO	$299	$299	$299

The flat-monthly column is uneventful by design — that is the point of the pricing model. The trade-off is that low-utilization accounts overpay (a Team-plan account using 5 hours/month is paying $99 for what would cost $75 on Rev AI), which is why the Solo tier exists at $29 for 5 hours. The break-even between Solo and Team is at 5 hrs/mo by definition (at 5 hrs/mo, Solo is $29 and Team is $99 — Solo wins; at 6 hrs/mo, Solo is over-cap and Team becomes the only option). For a team with consistent monthly volume above the 5-hour line, Team is the right SKU and the price is the price.

The non-pricing differences — Notion/Confluence/Docs glossary sync, LMS webhooks to TalentLMS / Docebo / Absorb / Kaltura, the per-customer vocabulary that compounds in accuracy with each captioned hour — are documented in TalentLMS, Docebo, Absorb, and Kaltura integration pages, and in the implementation and accuracy-protocol posts. This post is about the dollar comparison; the other posts are about why the dollar comparison is the right comparison to be running in the first place.

The synthesis table

One table, all four vendors, all three volume tiers, AI tiers and human-reviewed where applicable. Bold figures are the best price in each row.

Volume	Rev AI	3Play AI	Verbit (entry)	GlossCap	Rev human	3Play human
5 hrs/mo	~$75	~$60	~$29	$29 (Solo)	~$450–$600	~$525–$750
15 hrs/mo	~$225	~$180	~$29 (under cap)	$99 (Team)	~$1,350–$1,800	~$1,575–$2,250
30 hrs/mo	~$450	~$360	capacity-blocked → $2,750–$6,250	$99 (Team)	~$2,700–$3,600	~$3,150–$4,500

Pricing verified against public Rev pricing pages, third-party aggregator data for 3Play and Verbit (G2, Capterra, sonix.ai, public university rate cards), and the GlossCap pricing page. Per-vendor rates are subject to change; the structural argument — flat-monthly versus per-minute versus annual-enterprise — is the part that does not move with rate updates.

Two reads of the table. First, in the bottom row (30 hrs/mo, the canonical mid-market figure), GlossCap Team is roughly 3.6× cheaper than the cheapest competitor (3Play AI at $360) and at least 27× cheaper than the cheapest human-reviewed option. The 30-hour band is where the L&D case is unambiguous. Second, at the 5-hour band the four vendors are within roughly $46 of each other on AI tiers, and the choice becomes structural — what does the pricing shape do as your volume changes — rather than dollar-driven.

The break-even calculations, explicitly

The break-even is the volume at which a flat-monthly subscription costs the same as the per-minute alternative. Below the break-even, per-minute wins on dollars; above it, flat-monthly wins.

GlossCap Team ($99/mo) vs Rev AI ($0.25/min). $99 / $0.25/min = 396 minutes = 6.6 hours. Above 6.6 hrs/mo of training video, GlossCap Team is cheaper than Rev AI on dollars before any of the glossary, LMS, or operational benefits are counted.
GlossCap Team ($99/mo) vs 3Play AI ($0.20/min). $99 / $0.20/min = 495 minutes = 8.25 hours. Above 8.25 hrs/mo, GlossCap Team beats 3Play AI on raw dollars.
GlossCap Team ($99/mo) vs Rev human at $1.50/min. $99 / $1.50/min = 66 minutes = 1.1 hours. Above 1 hour/month of training video, GlossCap Team is cheaper than the cheapest Rev human-reviewed tier — and that gap widens at higher Rev human SKUs ($2.00/min crosses break-even at 49 minutes).
GlossCap Team ($99/mo) vs 3Play human at $1.75/min. $99 / $1.75/min = 56 minutes = 0.95 hours. Below 1 hour/month.
GlossCap Solo ($29/mo) vs Rev AI ($0.25/min). $29 / $0.25/min = 116 minutes = 1.9 hours. Above 1.9 hrs/mo, Solo beats Rev AI on dollars; below it, Rev AI per-minute is cheaper than the Solo subscription.

Three observations. First, the break-evens against AI tiers are in the 6–8 hours range, which is roughly half the typical mid-market monthly volume. Second, the break-evens against human-reviewed tiers are all under 2 hours per month — for any L&D team producing more than two hours of training video a month, paying for Rev or 3Play human-reviewed captioning is paying a tax on volume. Third, none of the calculations above include the time savings on caption correction (covered in the hidden-half-FTE post) or the accuracy advantage of glossary biasing (covered in the 99%-accuracy post) — the dollar break-even is the most conservative comparison, and GlossCap wins that one above 6.6 hours of monthly volume.

Where pricing alone is not the whole answer

This is the section that keeps the post intellectually honest. Five real cases where the cheapest dollar figure in the synthesis table is not the right answer:

You produce one-off external content, not weekly training video. If your captioning need is a podcast episode every two weeks, a customer story video twice a quarter, or a CEO keynote once a year, the workload is genuinely lumpy. Per-minute wins; flat-monthly is dead weight on the months you do not use it. Rev AI at $0.25/min is the right answer; our Rev alternative page says so directly.
Your accuracy bar is human-reviewed-grade with a name on it. Court-grade depositions, FCC broadcast captions, federal-contractor compliance audits where the accuracy attestation needs a named transcriber attached. Glossary-biased Whisper at 99.4% on terminology-dense L&D content is real, but it is not a human transcriber's signed certification of accuracy. For that kind of content, Rev human or 3Play human is the right tool and the cost is the cost of the attestation, not of the transcription.
You are a higher-education institution doing live lecture capture across hundreds of courses. Verbit's enterprise contract scopes were built for that environment. Captivate's vocabulary adaptation works on uploaded course content; the LMS integrations for Canvas / Blackboard / Panopto are deep; the dedicated support handles term-by-term failures. The $33K–$75K/year is high but priced against the alternative (a half-dozen captioning vendors stitched together with manual workflow) it is the right answer.
You need 10+ caption file formats, audio description, and 25-language translation in one platform. 3Play's full-suite pitch holds. The L&D vertical is a slice of the captioning market; if your captioning need spans broadcast, marketing, and accessibility-suite product work, 3Play's per-minute economics buy you a single integrated workflow that GlossCap's L&D focus does not.
Your monthly volume is below 5 hours and predicted to stay there. Solo at $29 is the right answer for 5 hours; below 5 hours the dollar math gets close (Rev AI is $30 at 2 hours, GlossCap Solo is $29). The structural argument for flat-monthly only kicks in above the Solo cap, and "below the cap" is a real buyer band that includes some pilots, some single-product-line training teams, and some seasonal compliance refreshers.

The header on each of the comparison pages — Rev, 3Play, Verbit — has an explicit "when the competitor is the right answer" section. Pricing pages that claim to win every dimension get trusted on none. The rule is the same here: list the cases where you should not buy us, and your finance partner trusts the cases where you should.

The procurement-objection chain — what your finance partner will say

Walk this section into a Wednesday-afternoon procurement meeting and use it as the script. Five objections in order of frequency, with the defensible counter and the place where the counter does not work.

"We already have a Rev / 3Play account — switching adds friction." The counter is that switching is a one-step move (export your existing caption files, upload them as the seed glossary, point the next captioning job at GlossCap), with no contract penalty to walk away from on Rev's per-minute or on 3Play's annual-renewable. The place where the counter does not work: if you have an active 3Play enterprise contract with a year remaining, the lock-in is the contract not the workflow, and the right move is to dual-source for the year and migrate at renewal.
"$99/mo is more than we are paying on Rev AI today." Possible if your monthly volume is under 6.6 hours. The counter is the break-even calculation in this post: at 7+ hours/mo of training video, GlossCap Team is cheaper on dollars before any glossary or LMS benefits are counted, and the per-minute number on the Rev invoice is the part that does not include the half-FTE of caption correction labour the team is also paying for. Where the counter does not work: a team genuinely producing under 6 hours/month of training video — Solo at $29 is correct for them; Team is over-priced for that volume.
"We do not yet have a glossary built; the price is for capability we cannot use." Pasted-terms glossary lives on Solo. Docs sync lives on Team. Building the first glossary takes 30 minutes against the slide-deck of one product training module — the implementation post walks the exact extraction. Where the counter does not work: a team whose training content is genuinely general-English (sales soft-skills training, leadership development modules with no proper-noun density) — they get less lift from glossary biasing and the Rev AI tier is closer to acceptable.
"What about Verbit's vocabulary adaptation? It is supposed to learn from our content." Verbit's Captivate adapts on uploaded transcript content; GlossCap's glossary reads from your Notion / Confluence / Docs directly. Both work; the difference is that the Verbit adaptation is configured during enterprise contract setup and the GlossCap sync is a self-serve OAuth flow on the Team plan signup. Where the counter does not work: a team with no Notion / Confluence / Docs presence (vocabulary lives in a SharePoint folder or a wiki we do not yet integrate with) — Verbit's content-upload model wins on that buyer profile.
"Why not just use YouTube auto-captions and clean them up?" The defensible counter is the half-FTE labour calculation in the hidden-half-FTE post: 4× real-time correction multiplier × $50/hr loaded specialist rate × 30 hrs/mo of source video = $36K/year of absorbed labour, against $1,188/year of GlossCap Team subscription. The math says any org producing more than 5 hours of training video a year is paying more in correction labour than the entire subscription would cost. Where the counter does not work: a team with one ID specialist who is contractually paid for caption-correction work and has no other capacity to redeploy — the labour cost is a sunk cost, not a marginal one, and the dollar argument has to be re-run on the operational side (publish-cycle drag, accessibility-statement risk, instructional-designer turnover).

The honest answer to all five objections is that the right vendor is the one whose pricing model matches your volume shape and whose accuracy model matches your content. For mid-market L&D teams with 10–30 hrs/mo of terminology-dense training video, that is GlossCap. For other shapes, see the five cases in the previous section.

What to do this week if you are running this procurement

The short, time-boxed sequence to close the vendor decision in five working days:

Monday — measure your monthly volume. Pull the last three months of training-video output from your LMS or content store. Count source-video hours per month, take the median. That number is the entry into the synthesis table — it tells you which volume tier you are in (5, 15, or 30 hours) and whether the Solo tier or the Team tier is the right SKU to compare against the per-minute alternatives. If your volume bounces by more than 2× month-over-month, the per-minute argument deserves a closer look; if it is consistent within ±20%, the flat-monthly case is unambiguous.
Tuesday — pull the rate cards. Rev's pricing page is public. 3Play and Verbit both require a sales-call quote — request both, document what they ask for (turnaround tier, language, AI-vs-human blend, annual commitment), and time the response. The friction itself is data: a vendor that takes a week to return a quote is a vendor that will take longer when something breaks in production. GlossCap's rates are on the pricing page; Solo and Team are self-serve on a card.
Wednesday — run the same audit on each vendor. Take a representative 5-minute sample of your training video. Run it through each vendor's AI tier (Rev API, 3Play sales-team-provided test account, Verbit entry, GlossCap Solo trial). Score the output against a hand-corrected reference using the DCMP method described in the 99%-accuracy post. The output is a per-vendor accuracy number against the WCAG 99% bar — and a side-by-side error breakdown that tells you which vendor mishandles which class of vocabulary in your content.
Thursday — populate the procurement spreadsheet. One row per vendor. Columns: monthly cost at your volume, sign-up friction (self-serve vs sales-call), accuracy on your audit, glossary support model (none / API / sync / vocabulary adaptation), LMS integration model, contract length, and lock-in shape. The synthesis table in this post is the template; substitute your actual rates for the industry-typical ones.
Friday — write the recommendation. One slide. Vendor name, monthly cost, accuracy on your audit, the one structural reason you are picking them. Send to your VP and your finance partner. Include the procurement-objection chain pre-answered for the vendor you picked — that is the part that prevents the meeting from running long.

If you want to short-circuit the audit step, our caption-mangle scanner is the in-browser version of the side-by-side: paste your terms, see how Whisper-default mangles them versus how Whisper-with-glossary handles them, on terms drawn from real auditor samples. It is not a substitute for the 5-minute audit on your own content, but it is a useful gut-check before you book three vendor demos. Get early access to the GlossCap Solo or Team trial if your volume puts you above the 5-hour Solo line.

FAQ

How current are the rates in this post?

Verified 2026-04-29 against the Rev public pricing page, third-party aggregators (G2, Capterra, sonix.ai), public university rate cards, and the GlossCap pricing page. Rev's per-minute rates and the GlossCap monthly tiers are checkable on each vendor's site; 3Play and Verbit do not publish rates and the figures are industry-typical from the cited aggregators. Your actual quote will differ. We re-verify on a quarterly cadence and update this post on rate changes; the structural argument (flat-monthly vs per-minute vs annual-enterprise) is the part that does not move when individual rates change.

What about Otter.ai, Sonix, AssemblyAI, Deepgram, Microsoft Azure?

Otter.ai is a meeting-transcription tool first; captioning is downstream. Sonix and AssemblyAI are general-purpose transcription APIs priced per minute (similar shape to Rev AI, slightly different rate cards — Sonix is around $10/hr, AssemblyAI's caption tier is in the same band). Deepgram is a developer-tier API, also per-minute. Azure Cognitive Services has a per-hour speech-to-text tier with custom-vocabulary support. None of them are L&D-purpose-built; all of them have the per-minute or per-hour shape, which means the structural argument in this post applies. We will publish individual head-to-heads as the cadence picks them up; in the interim, the synthesis-table entry for each is "approximately Rev AI shape."

What about open-source self-hosted Whisper?

The right answer for some buyers, especially engineering-heavy orgs with ML platform infrastructure already in place. Self-hosted Whisper-large costs roughly the GPU time to run (a few cents per hour of audio on commodity cloud GPUs) plus the engineering time to build the pipeline (segmentation, timestamping, glossary prompting, SRT/VTT export, edit UI, LMS webhooks, retention policies, audit logging). The build is 4–8 weeks for a small team to get to production, and ongoing maintenance is real. GlossCap's Team plan is the build-vs-buy decision for L&D teams without ML platform infrastructure; we run the equivalent of that pipeline as a service and the $99/mo replaces the engineering time, not just the GPU time.

Does GlossCap have a free tier or trial?

Solo at $29/mo is the entry SKU and includes the 5-hour cap and pasted-terms glossary; the early-access waitlist is the on-ramp for new sign-ups. There is no permanently-free tier; the cost-side economics on Whisper API spend make a true free tier hard to sustain at the per-customer accuracy bar we commit to. The closest free experience is the caption-mangle scanner, which runs the glossary biasing pattern in-browser on a hand-curated 30-term dictionary and is sufficient to evaluate the technique without a sign-up.

Why publish a competitor pricing breakdown at all?

Two reasons. First, mid-market L&D buyers running this procurement are doing the comparison anyway — better that they read the comparison from us, where we credit the competitors on the dimensions they win, than from a third-party aggregator that mangles the SKU detail. Second, the comparison is a forcing function on our own pricing: if there is a buyer profile where one of Rev / 3Play / Verbit is structurally cheaper or better-fit, we want to know it and recommend that vendor explicitly (the five cases above, and the "when the competitor wins" sections on each comparison page). Pricing posts that pretend competitors are uniformly worse get distrusted; pricing posts that show the math get forwarded to finance.

What if my volume is highly variable month-over-month?

The flat-monthly argument weakens if your volume swings by more than 2× month-over-month. The pragmatic options are (a) sign up for Team during peak months and downgrade to Solo during trough months — the GlossCap plans are month-to-month with no annual commit, so this is mechanically supported; (b) stay on Rev AI per-minute and absorb the variance in the invoice; (c) blend — caption the steady-state catalogue (compliance modules, evergreen onboarding) on GlossCap Team and one-offs (CEO town halls, conference recordings) on Rev AI. The blend is what most large orgs end up doing in practice.