V0 by Vercel pricing

About

v0 by Vercel (v0.app, formerly v0.dev) is an AI app-builder that turns prompts, screenshots, and Figma designs into production-ready full-stack apps built on Next.js and React, with one-click deploys to Vercel’s infrastructure. It runs a family of in-house models — v0 Mini, Pro, Max, and Max Fast — and includes agentic features, a sandbox, and visual Design Mode editing.

Pricing combines a per-seat subscription with a prepaid credit pool. Free is $0/mo, Team is $30/user/mo, and Business is $100/user/mo, with Enterprise quoted custom. A legacy Premium plan at $20/mo is being sunsetted and is no longer available to new users. Each plan includes a monthly credit allowance; generations draw down credits at per-model token rates, and paid teams can buy additional credits into a shared pool.

For the most current information on v0’s pricing and market position, visit v0 by Vercel.

Pricing summary : How V0 by Vercel’s pricing model works

v0 bills on three stacked dimensions: a per-seat subscription (Free $0, Team $30/user/mo, Business $100/user/mo, Enterprise custom), a prepaid credit pool that each seat tops up with monthly credits ($5 on Free, $30/user on paid plans) plus $2 of free daily login credits on paid seats, and per-model token rates that determine how fast those credits drain. Generations consume credits priced per 1M input/output tokens, and the rate depends on which model you pick.

When a seat’s individual monthly credits run out, usage falls through to a shared credit pool (Team, Business, Enterprise) that teams pre-purchase and share. Unused monthly credits roll over and expire after 65 days; separately purchased shared-pool credits expire one year after purchase.

• Seats: Free $0/mo · Team $30/user/mo · Business $100/user/mo · Enterprise custom (legacy Premium $20/mo, sunsetting).
• Included credits: $5/mo (Free), $30/user/mo (Team & Business), plus $2/day free login credits on paid seats.
• Token rates per 1M (in / out): v0 Mini $1 / $5 · v0 Pro $3 / $15 · v0 Max $5 / $25 · v0 Max Fast $10 / $50 (cache-write and cache-read tokens priced separately and cheaper).

What makes this different: Most AI coding tools meter either seats or tokens; v0 layers both, then routes overage through a team-shared, pre-purchased credit pool with explicit rollover and expiry rules — closer to a cloud-credits balance than a flat SaaS seat.

Pricing by product

v0 app (Subscription plans)

v0 models (Per-1M-token credit rates)

Sales motions across products: PLG / self-serve for Free, Team, and Business (sign up and pay on vercel.com); sales-led for Enterprise (custom quote, security review, AWS Marketplace / Bedrock options).

Hidden costs : What V0 by Vercel users actually pay

The headline seat price is the floor, not the bill. Each seat’s monthly credits ($30/user on Team and Business) are spent against per-model token rates, and a single full-stack generation on v0 routinely consumes far more input tokens than a short prompt suggests — v0 injects chat history, source files, and Vercel-specific context as input on every turn. Once a seat’s $30 is gone, generation pauses unless the team has pre-bought shared-pool credits, so heavy users pay real overage on top of the seat.

Archetype 1 — a 3-seat Team plan iterating heavily on v0 Pro. Three developers each prompt dozens of times a day. Assume the team burns roughly 60M input + 12M output tokens/month on v0 Pro ($3/$15 per 1M) across all three seats — well past the $90 of pooled monthly credits.

So the three seats cost $90 but the team pays roughly $360 — usage is ~3x the seat fee, and that is on the mid-tier model. Switching the same workload to v0 Max ($5/$25) would roughly 1.7x the token bill again.

Archetype 2 — a solo builder on Free pushing past the gates. The Free plan gives $5 of monthly credits but also caps you at 7 messages/day. A weekend project hits the daily message wall long before the $5 runs out, so the real “cost” is friction: to ship anything beyond a prototype you upgrade to a $30 Team seat (Premium is closed to new users), then start drawing down credits at token rates.

The lesson: v0’s free tier is a true try-before-you-buy, but its dual gate (daily messages and a credit balance) means meaningful work almost always converts to a paid seat plus metered token spend.

Want to estimate your own v0 by Vercel bill? Use the v0 by Vercel pricing calculator to model your monthly cost based on seats, model choice, and token volume.

Pricing evolution : V0 by Vercel pricing history and changes

Cadence

Tracked range: 2025-05–2026-06. v0.app pricing snapshots exist only from 2025-08 onward; the earlier v0.dev message-count era is documented from Vercel’s own announcement, not a captured snapshot.

Notable changes

• 2025-05-13 — Vercel announces token-based credit pricing, replacing fixed message counts; usage now draws down a credit balance based on input/output tokens (vercel.com/blog/updated-v0-pricing).
• 2025-08 — Credit pricing live on v0.app/pricing with per-model rates: v0-1.5-sm $0.50/$2.50, md $1.50/$7.50, lg $7.50/$37.50 per 1M in/out, plus separate higher v0 API rates.
• 2025-11 — Business $100/user/mo tier added between Team and Enterprise; consumer generation collapses to a single “v0 Agent” model.
• 2025-12 — $2 daily login credits added to paid seats; Free plan gains a 7 message/day cap; Business briefly $80 for Black Friday.
• 2026-01 — Domain rebrands to v0.app; models renamed v0 Mini/Pro/Max.
• 2026-02 — Per-model token rates roughly double (v0 Pro $1.50/$7.50 → $3/$15) and explicit cache-write/cache-read token lines appear.
• 2026-04 — Premium $20/mo individual plan removed from the pricing page (legacy, closed to new users); v0 Max Fast model launches at $30/$150.
• 2026-06 — v0 Max Fast repriced down to $10/$50 per 1M in/out.

The credit-system migration in detail

v0 has run three different metering systems in under three years. It launched on v0.dev in 2023 charging fixed monthly message counts — a simple, predictable cap that broke down as generations grew from single components to full-stack apps that consume wildly different amounts of compute. On 2025-05-13 Vercel announced the switch to token-metered credits, arguing it gave “more predictable pricing as you grow” and let it raise free-tier usage. The seat prices stayed flat across the whole transition (Free $0, Premium $20, Team $30), so the change was invisible on the headline grid — the action moved entirely into the per-model token rates, which are where v0 has since raised prices: rates roughly doubled in February 2026 while not a single plan price changed. This is the defining tension of credit-metered pricing — the published seat number is stable and reassuring, but the real cost lever sits one layer down in the token table, where it can move without ever touching the plan card.

What’s unique : V0 by Vercel’s distinctive pricing mechanics

1. Three stacked meters — seat, credit pool, and per-model token rate. Most AI coding tools meter one thing: Cursor and GitHub Copilot sell seats with request quotas; pure API tools sell tokens. v0 layers all three. You buy a seat, the seat funds a monthly credit balance, and generations drain that balance at per-1M-token rates that differ by model. That makes v0 closer to a hybrid seat-plus-usage model sitting on top of a credit-based billing wallet than to a flat SaaS subscription.

2. The credit pool is team-shared with explicit expiry rules. On Team, Business, and Enterprise, each seat’s individual monthly credits are consumed first, then usage falls through to a pre-purchased shared pool that the whole team draws from. Monthly credits roll over but expire after 65 days; separately purchased shared-pool credits expire one year after purchase. This dual-bucket, dual-expiry design — rare among AI coding tools — is much closer to a cloud-credits balance than a SaaS allowance.

3. Per-model token rates are the real price lever, and they move. v0 runs four in-house models (Mini, Pro, Max, Max Fast) priced from $1/$5 up to $10/$50 per 1M in/out, with cache-write and cache-read tokens priced separately and cheaper. Because the seat price is fixed, every price change v0 has made since launch has happened in this token table — rates roughly doubled in February 2026 with no movement on any plan card.

4. It is a deliberate front door to the Vercel cloud. v0 deploys to Vercel with one click, bills centrally on vercel.com, and Enterprise inference runs on dedicated Secure Compute and AWS Bedrock. Pricing is designed less to maximize v0 standalone revenue than to pull builders into Vercel’s broader AI-cloud — the same ecosystem flywheel that powers shadcn/ui adoption and Next.js lock-in.

Strengths & weaknesses

Billing UX : V0 by Vercel billing controls and transparency

• Usage dashboard — A usage summary (daily, weekly, monthly) plus a detailed event log showing date, user, event type, model, and cost for each generation.
• Billing dashboard — Shows current plan, credit balances and expiry dates, payment method, and downloadable invoices/receipts for tax purposes.
• Credit balance + expiry tracking — Monthly credits roll over and expire after 65 days; separately purchased shared-pool credits expire one year after purchase, surfaced as explicit expiry dates.
• Shared credit pool — On Team, Business, and Enterprise, individual monthly credits are consumed first, then a team-shared purchased pool; Enterprise credit purchases are arranged via the Account Executive.
• On-demand credit purchase — Premium, Team, and Business seats can buy additional credits at any time once included monthly usage is exhausted; generation pauses (rather than auto-charging) when credits run out.
• Centralized billing — Paid teams bill centrally on vercel.com. Payment is card-based; PayPal is not accepted.

Strategic wins : Why V0 by Vercel’s pricing decisions worked

1. Kept seat prices flat while moving cost into the token table

v0 has changed its metering system twice — message counts to credits in 2025, then roughly doubling token rates in 2026 — yet Free $0, Premium $20, and Team $30 never moved on the plan card. Buyers anchor on the visible seat number, so the company raised effective prices without triggering the “they raised prices” backlash that hits flat-subscription tools. It is a textbook example of why usage-based pricing gives vendors more room to maneuver than a fixed-fee plan.

2. Migrated message-count users to token credits with a soft transition

When v0 switched from fixed message counts to token-metered credits on 2025-05-13, existing users were moved at the start of their next billing period rather than overnight, and Vercel framed the change as increasing free-tier usage. Handling a billing-model change as a graceful migration rather than a forced cutover is the playbook for shifting customers from per-user licenses to consumption without churn.

3. Used v0 as a low-friction front door to the Vercel cloud

v0’s pricing is engineered to convert builders into Vercel deployers: one-click deploy, centralized vercel.com billing, and Enterprise inference on dedicated Secure Compute. The standalone tool doesn’t have to be a profit center if it pulls users into Next.js, shadcn/ui, and Vercel hosting. This ecosystem-flywheel logic is exactly the kind of outcome that reshapes how AI companies price — the meter sells the platform, not just the product.

4. Made the free tier a real product, gated two ways

The $5 monthly-credit Free plan plus a 7 message/day cap lets a curious developer ship a working prototype before paying — but the dual gate ensures meaningful work converts to a paid seat. Choosing two complementary gates (a daily message wall and a credit balance) instead of one is a deliberate metric-design choice; see choosing the right usage metric for why pairing a velocity cap with a value meter works.

Areas to improve : Gaps in V0 by Vercel’s pricing approach

1. Token rates can change without the buyer noticing — add change transparency

Because every price increase happens in the per-model token table rather than the plan card, a Team customer can see their effective cost rise (rates roughly doubled in February 2026) without any “your price is changing” signal. A dated, public rate-history table on the pricing page — or an in-product banner when token rates change — would close the bill-shock and cost-unpredictability gap that credit-metered tools are prone to.

2. Make the real cost of a generation legible before the bill arrives

A single full-stack generation consumes far more input tokens than a short prompt implies, because v0 injects chat history, source files, and Vercel context as input on every turn — the FAQ even has to answer “why do messages use so many input tokens?”. Surfacing an estimated credit cost before a user hits send, or a projected monthly burn based on recent usage, would let teams forecast spend instead of discovering it. This is the core of pricing cost predictability for any token-metered product.

3. Smooth the $20-to-$30 entry-price jump left by the Premium sunset

Sunsetting the $20/mo Premium plan removes the only individual paid tier, so a solo builder who outgrows Free now jumps straight to a $30 Team seat — a 50% higher entry price with team features they may not need. A lightweight individual “Pro” tier (or letting solo users buy credits without a Team seat) would rebuild the missing rung in the ladder and reduce drop-off at the Free-to-paid boundary.

Key takeaways

1. A fixed seat price is a marketing surface; the meter is the price. v0 raised effective prices twice without moving any plan number by putting the increases in the per-model token table. If you meter usage, the published seat price stops being your real price — and buyers will anchor on whichever number you show most prominently.
2. Stack meters deliberately, not accidentally. v0’s seat + credit-pool + token-rate layering is powerful but hard to forecast. Each meter you add buys flexibility and costs predictability, so add them only when each one captures a distinct value dimension you can defend.
3. A two-gate free tier converts better than one. Pairing a velocity cap (7 messages/day) with a value meter ($5 credits) lets curious users prototype yet pushes real work to paid faster than a single limit would. The gates should fail at the moment usage becomes valuable.
4. Migrate billing-model changes, don’t cut them over. v0 moved message-count users to token credits at their next billing cycle and framed it as more free usage. Soft transitions plus a positive framing are how you change the meter without spiking churn.
5. Price the product to sell the platform. v0’s pricing exists partly to funnel builders into Vercel hosting, Next.js, and shadcn/ui. When the real monetization is downstream, the front-door tool can price for adoption rather than standalone margin.

UBP implications

1. Credit pools decouple the price-change event from the plan card. When usage is denominated in credits drained by token rates, a vendor can reprice the underlying meter without ever editing a plan. That is operationally convenient but shifts the transparency burden onto the vendor — practitioners should publish rate history or accept that customers will feel surprised.
2. Token-as-currency pricing turns model selection into a pricing tier. By exposing four models at 10x-spread token rates (Mini $1/$5 to Max Fast $10/$50), v0 lets the user self-select their willingness to pay per generation. The model picker is the pricing menu — a pattern other multi-model AI tools can copy to avoid hard plan tiers.
3. Ecosystem front-door tools justify below-margin usage pricing. When the AI tool is a funnel into a broader platform (hosting, inference, framework lock-in), usage can be priced for adoption velocity rather than direct profit. UBP strategy has to account for where the lifetime value actually accrues, not just the metered product’s own P&L.

Sources

• v0 by Vercel pricing page (accessed 2026-06-08)
• v0 docs — Pricing, credits, and tokens (accessed 2026-06-08)
• v0 for Enterprise (accessed 2026-06-08)
• Vercel blog — Updated v0 pricing (token-based credits announcement) (accessed 2026-06-08)
• v0 docs home (accessed 2026-06-08)

Bottom line

v0 by Vercel prices like a cloud product wearing a SaaS plan card: stable seat numbers up top, a prepaid credit pool underneath, and per-model token rates that are the actual price lever — and the one that has moved while the plans stayed still. Its discipline is keeping the headline grid reassuring through three metering changes; its tax on the buyer is that the true monthly cost of a generation-heavy team lives one layer below the plan they signed up for.

Want to compare v0’s stacked seat-plus-credit model against other developer tools? See the parent Vercel pricing blueprint and the usage-metered support pricing of Intercom’s Fin, or browse the full 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.

Current pricing: Max Fast repriced to $10/$50

Jun 2026

Free $0, Team $30/user/mo, Business $100/user/mo, Enterprise custom. v0 Max Fast drops from $30/$150 to $10/$50 per 1M in/out. Models: Mini $1/$5, Pro $3/$15, Max $5/$25, Max Fast $10/$50 (cache tokens priced separately).

Premium $20/mo sunset; v0 Max Fast model added

Apr 2026

The $20/mo Premium individual plan is removed from the pricing page (legacy, closed to new users). A new v0 Max Fast model launches at $30/$150 per 1M in/out for 2.5x faster output.

Per-model token rates roughly doubled; cache tokens added

Feb 2026

Mini rises to $1/$5, Pro to $3/$15, Max to $5/$25 per 1M in/out — roughly 2x the January rates — and explicit cache-write/cache-read token lines appear (cheaper than input/output).

v0.dev rebrands to v0.app; models renamed Mini/Pro/Max

Jan 2026

Domain moves to v0.app and the generation models are rebranded v0 Mini ($0.50/$2.50), Pro ($1.50/$7.50), Max ($3.50/$17.50) per 1M in/out. Design Mode now ships on Free.

$2 daily login credits + 7 msg/day Free cap

Dec 2025

Every paid seat gains $2 of free daily login credits; the Free plan gains a 7 message/day limit on top of its $5 monthly credits. A Black Friday promo cut Business to $80/user/mo (from $100) temporarily.

Business $100/user/mo tier added

Nov 2025

A Business plan ($100/user/mo, training opt-out by default) slots between Team and Enterprise. The consumer model collapses to a single 'v0 Agent' generation model ($1.50/$7.50), with md/lg models kept API-only.

Credit-based pricing live with per-model token rates

Aug 2025

v0.app/pricing shows the new credit model: Free $0, Premium $20, Team $30/user, Enterprise. Generations draw down credits at per-model token rates — v0-1.5-sm $0.50/$2.50, md $1.50/$7.50, lg $7.50/$37.50 per 1M in/out — with separate, higher v0 API rates. No Business plan yet.

Token-based credit pricing announced

May 2025

Vercel announced v0 would move from fixed message-count plans to metered credits consumed by input/output tokens. Free $5/mo credits, Premium $20/mo, Team $30/user/mo; existing users migrated at their next billing period (vercel.com/blog/updated-v0-pricing).