What is it
AI UI Generation Pricing is pricing for AI products that generate UI components or full pages from prompts — typically billed per credit or generation.
AI UI generation is a sub-category emerging from the broader code-generation space. Instead of completing code inline like an AI coding assistant, these products take a natural-language prompt (“a pricing table with three tiers”) and emit a rendered component, a full page, or the underlying React/HTML. Vercel’s v0 is the canonical example: a dedicated prompt-to-UI surface that ships production-ready front-end code.
The pricing question is identical to the one agentic products face: how do you bill for variable-cost output that ranges from trivial to expensive per run? A one-shot button is cheap; a multi-turn redesign of a dashboard burns far more model tokens. Vendors answer this by metering the underlying model spend rather than charging a flat fee per generated artifact.
Three companies in the UsagePricing corpus currently tag ai-ui-generation as a use case — Vercel (through v0), Gamma (AI presentations, documents and websites), and Replicate (through image-generation models). All three lean on usage-based mechanics covered in our introduction to usage-based pricing, pricing the output by the resource it consumes rather than by the seat alone.
How it works
The three corpus examples take different but related approaches. Vercel’s v0 meters generations in tokens consumed by the underlying model, passed through at AI Gateway cost with a stated “zero markup” policy. Gamma wraps a monthly AI-credit allowance around per-seat plans, and scopes the meter narrowly — everyday creation is unlimited under fair use, and credits only burn on the premium surfaces (Agent, advanced models, API). Replicate prices the image and design models that produce visual output either by GPU-second of inference time or at a flat per-output-image rate, depending on the model.
| Dimension | How it’s billed | Example |
|---|---|---|
| Token-metered generation | Per million tokens the model consumes per prompt | v0 Max Fast: $10/1M input, $50/1M output tokens (AI Gateway cost, zero markup) |
| Included monthly credits | A fixed credit allowance absorbs light usage before metering kicks in | v0 Free includes $5/month of credits (7-message/day limit); Gamma Team bundles 6,000 credits/seat |
| Per-seat + scoped credit meter | Seat fee plus a credit pool that only meters premium AI features | Gamma Pro €24/seat/mo; add-on credits 1,500 for $6 |
| Per-second compute | Inference billed by GPU-seconds of run time | Replicate: dedicated H100 at $0.001525/sec, billed only while active |
| Per-output unit | Flat rate per generated image/artifact | Replicate: FLUX Schnell $0.003/img, FLUX 1.1 Pro $0.04/img, Ideogram v3 $0.09/img |
The recurring pattern is a credit or allowance buffer on top of metering. v0 layers tiered plans (Free, Team $30/user, Business $100/user) over token metering, Gamma bundles a monthly credit pool per seat, while Replicate is closer to pure usage with no platform fee at all. For modeling these mixed structures, our prepaid-credits guide walks through the credit-plus-usage shape these vendors use.
Unit math: v0 generation cost ≈ (prompt + output tokens) × per-token rate, drawn down first against included credits. On Gamma, add-on credits run about 0.4¢ each (1,500 for $6). On Replicate, a per-output image bill = images × per-image rate (e.g., 1,000 FLUX 1.1 Pro images × $0.04 = $40), or for time-billed models, GPU-seconds × hardware rate.
Companies using this
Three companies in the corpus tag AI UI generation as a use case: Vercel, whose v0 product is the canonical prompt-to-UI generator; Gamma, which generates presentations, documents and websites from a prompt on a per-seat-plus-credits model; and Replicate, which hosts the image and design models that produce visual UI output. All three reuse infrastructure-style billing units — tokens, credits, and GPU-seconds — rather than inventing a per-component price.
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FAQ
How is AI UI generation priced?
AI UI generation is typically billed per credit, per seat with a credit allowance, or by the tokens the underlying model consumes. Vercel's v0 meters model usage in tokens with explicit per-million rates, Gamma layers a monthly AI-credit allowance over per-seat plans, and Replicate bills image-model output either per GPU-second or at a flat per-output-image rate.
What companies offer AI UI generation pricing?
In the UsagePricing corpus, three companies tag AI UI generation as a use case: Vercel (via its v0 product), Gamma (AI presentations, docs and websites), and Replicate (via image-generation models like FLUX). Vercel's v0 is the canonical prompt-to-UI example.
How much does Vercel v0 cost?
v0 has its own pricing separate from Vercel's core platform: Free ($0/month with $5 of included monthly credits and a 7-message/day limit), Team ($30/user/month), Business ($100/user/month) and Enterprise (custom). Model usage is metered in tokens at AI Gateway cost with no markup; the flagship v0 Max Fast model is $10/1M input and $50/1M output tokens.
How much does Gamma cost?
Gamma's Individual plans (rendered in EUR from its geo-locked page) are Free €0, Plus €10/seat/mo, Pro €24/seat/mo and Ultra €86/seat/mo, plus workspace tiers Team $240/seat and Business $480/seat (billed annually). Each paid plan bundles a monthly AI-credit allowance; add-on credits cost 1,500 for $6.
Is AI UI generation billed per component?
Not in this corpus. All three vendors pass through the variable cost of the underlying model — tokens for v0, scoped AI credits for Gamma, and GPU-seconds or per-image rates for Replicate — rather than charging a fixed price per generated component or page.
Why does AI UI generation use variable usage pricing?
Output cost ranges from trivial to expensive per run, so a flat per-seat fee would either overcharge light users or lose money on heavy ones. Usage or credit billing lets vendors match price to the model spend each generation actually incurs.
Related use cases
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