Replicate Pricing (2026)

Pure usage-based billing where you pay for what you compute — public models charge by runtime or tokens, while private models bill for dedicated hardware time including when it's sitting idle. Hardware costs scale dramatically from $0.09/hr for basic CPU up to $43.92/hr for premium 8x H100 GPU clusters.

Verified Sep 29, 2026 Official pricing page
Screenshot of Replicate's pricing page showing its plans and prices
Their pricing page, captured Sep 29, 2026

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AI Pricing Analysis

Pricing Model

Pure usage-based billing where you pay for what you compute — public models charge by runtime or tokens, while private models bill for dedicated hardware time including when it's sitting idle. Hardware costs scale dramatically from $0.09/hr for basic CPU up to $43.92/hr for premium 8x H100 GPU clusters.

Tier Strategy

No traditional tiers here — it's all about hardware selection based on your model complexity and performance needs. Teams naturally graduate from shared public models to private dedicated hardware as they need more control, custom models, or guaranteed availability.

Competitive Positioning

Premium positioning in the AI infrastructure space with that $43.92/hr top-end pricing, but the pay-per-use model means small teams can start cheap on public models. They're targeting serious ML teams who need production-grade infrastructure, not hobbyists or basic API users.

Growth Lever

Usage expansion is the entire game — teams start with lightweight public models then get hooked on more powerful hardware as their models get sophisticated. The idle-time billing on private models creates pressure to maximize utilization, driving consistent revenue.

Want the strategist's read on the live page? Read the AI teardown of Replicate's pricing page →

Replicate Pricing FAQ

How much does Replicate cost?
Pricing is custom — you'll need to talk to their sales team for a quote.
Is there a free plan?
No free plan. You'll need to commit to a paid plan to get started.
Can I try it before paying?
Not at the moment. There's no free trial or free plan listed on their pricing page.
How does the pricing work?
Pure usage-based billing where you pay for what you compute — public models charge by runtime or tokens, while private models bill for dedicated hardware time including when it's sitting idle. Hardware costs scale dramatically from $0.09/hr for basic CPU up to $43.92/hr for premium 8x H100 GPU clusters.
Is there a discount for annual billing?
volume discounts for large amounts of spend.
Which plan makes sense for me?
No traditional tiers here — it's all about hardware selection based on your model complexity and performance needs. Teams naturally graduate from shared public models to private dedicated hardware as they need more control, custom models, or guaranteed availability.

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