The credit model on AI-heavy building is unpredictable — a complex agent session can burn credits fast, and they expire monthly, so heavy AI users hit surprise costs. Great for learning and prototyping; watch the meter for production work. Throughout this review we weigh it against GitHub Codespaces.
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✓ Pricing re-verified 2 Sep 2026
Starter is free, with daily Agent credits, a built-in database and the slides/video/animation tools. Core is $17/month billed annually, shown against a struck-through $20; the $25 monthly figure of our summer captures is no longer on the page. It includes $20 of monthly credits towards the most powerful models (down from $25), up to 5 collaborators and up to 2 agents working in parallel.
Pro is $100/month, or $95/month billed annually, and includes $100 of monthly credits, up to 15 collaborators and up to 50 viewers. Enterprise is separate. The number to watch is not the seat but the credits: since Replit moved to effort-based pricing the Agent decides how much work a request is worth, so the monthly credit allowance is a starting balance rather than a budget. Plans change — always verify the live price on their site.
We capture Replit’s own pricing page every month and keep the figures, so this is our record of the page — not a forecast, and not someone else’s summary.
Replit's published prices have been stable this summer even though what a credit buys has not. Our July and August 2026 captures both read $25 and $20 for Core and $100 and $95 for Pro, with the same $25 and $100 monthly credit allowances, and the page returned those same figures on 17 August 2026. Three readings, no movement in the sticker — which is precisely why the complaints are about consumption rather than about price rises. That stability ended between our 2 August and 1 September 2026 captures: Core now reads $17 a month billed annually against a struck-through $20, and the included credits went from $25 to $20 a month. Pro held at $95 annual and $100 monthly, but its credits line also changed, from '$100 monthly credits' to '$100 towards most powerful models'. A 15% cheaper plan with a 20% smaller allowance is a repackaging, not a cut.

Browser-based coding environment with instant deploys and an AI agent. Billing is effort-based: each plan includes monthly credits that the Agent draws down at a rate you do not set, the credits expire monthly, and a complex agent session burns them fast, which makes production costs hard to budget.

Recurring themes from the buyer-review sites listed at the foot of this page, read in August 2026. We have not run Replit ourselves, so this is other buyers' experience rather than ours. We summarise it here because the complaints are usually the part a vendor page leaves out.
Starter is free with limited daily Agent credits and one published project, and it is enough to learn whether the Agent suits how you work. Beyond that the plan fee is the smaller half of the bill, so "is the paid plan worth it" is really "do I understand what the Agent costs". Read on their own pricing page on 2 September 2026: Core is $17 a month billed annually and includes $20 of credits, up to 5 collaborators and up to 2 agents working in parallel.
Pro is $95 a month billed annually, or $100 monthly, with $100 of credits, up to 15 collaborators and up to 50 viewers; it launched in February 2026 and replaced the old Teams plan. Enterprise is custom. Then the part nobody quotes. Documented bills show $0.25 per Agent checkpoint and $0.05 per Assistant checkpoint — one recorded period ran 632 Agent checkpoints and 965 Assistant checkpoints, $206.25 in checkpoints on top of the plan.
At $0.25 a checkpoint your $20 of Core credits is about 80 Agent checkpoints a month. Budget against checkpoints, not against the $17, and note that effort-based billing reached existing Core and Teams subscribers on 1 July 2026 — check which basis you are on.
Our monthly capture read this pricing page in August 2026 and again in September 2026. The price history below explains what changed.
Watch the checkpoint counter from the first prompt. It is the meter, and three things drive it. Vague prompts, because the Agent iterates until it matches what you asked. Debug loops, because it keeps spending on each failed attempt when it gets stuck on its own mistake. And broad scope, because a large instruction that breaks a working feature costs twice. So work in small, verifiable steps and stop it yourself when it starts going in circles.
A precise brief costs fewer rounds than a conversation, and that is a difference measured in dollars here rather than in patience. Use the free Starter tier to find out how many checkpoints your kind of task actually takes before you pick a plan. If a single feature runs to twenty checkpoints, Core's $20 of credits is four features a month — which may be plenty, or may tell you Pro is the honest answer.
Distilled from Replit's own pricing page plus published billing records showing per-checkpoint rates, read 2 August 2026
The natural comparison is GitHub Codespaces or a local IDE — other cloud dev environments. Weigh it against GitHub Codespaces on the job you actually need done.
Core is $17 a month billed annually, shown against a struck-through $20, and includes $20 of monthly credits; Pro is $100 a month, or $95 billed annually, with $100 of monthly credits towards the most powerful models. Starter remains free with daily Agent credits. That is the pricing page as read on 2 September 2026; the summer figures ($25 and $20 for Core, with $25 of credits) are in the price history on this page.
Because the price and the bill are different things. Replit's effort-based pricing lets the Agent decide how much work a request represents, so your $20 or $100 credit allowance drains at a rate you do not set. Reviewers describe burning a third of a monthly budget in a night, and projects costing several times what they used to. The subscription is a floor; treat the credits as the real meter and check the balance before a long session.
That is the most-searched question about Replit on our pages, and the honest framing is what you are optimising for. If you want the same prompt-to-deployed-app loop the alternatives are other agentic builders; if the trigger is cost unpredictability, a conventional editor plus your own hosting removes the meter entirely at the cost of doing the plumbing yourself. Reviewers on TrustRadius who stay describe wanting the opposite of a switch: better model selection to spend fewer tokens on simple tasks, and a way to link apps into one ecosystem.
Judge it on evidence rather than adjectives. Look for a published security page, single sign-on and role controls on the plan you would actually buy (they are often gated to higher tiers), a status page with real incident history, and a clear answer on where your data is stored. If the tool will hold anything sensitive, those four answers matter more than any feature comparison.
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