Gumloop AI Pricing 2026: Plans, Credits, Costs & Is It Worth It?

Gumloop AI pricing in 2026 starts at $37 per month for the Pro plan, which includes 20,000 monthly credits, unlimited seats and teams, access to 35+ AI models, and support for bringing your own API keys. Enterprise pricing is custom. Gumloop no longer presents a permanent Free plan to new customers; instead, new accounts can start with a 14-day Pro trial.The subscription price is only the starting point. Agent costs can vary with AI model usage, tool calls, active compute time, and the orchestration fee, so the most useful budgeting measure is how many credits each real workflow consumes.For most teams, Gumloop Pro can offer good value when AI automation replaces meaningful manual work. Heavy agent usage can increase the real monthly cost beyond the base subscription.

Gumloop Pricing Plans at a Glance

Gumloop currently offers one main self-service paid plan alongside its custom Enterprise offering.

The Pro plan also provides unlimited agents and teams, access to more than 35 AI models, BYOK support, and one hosted MCP server. Enterprise adds stronger security, administration, governance, deployment controls, and customizable operational limits.

Prices are shown in USD. Taxes, VAT, exchange rates, and final checkout totals may vary by billing country or payment method.

How Much Does Gumloop AI Cost Per Month?

For most new customers, Gumloop AI starts at $37 per month through the Pro plan, which includes 20,000 monthly credits. The final bill can rise when workflow usage exceeds the included allowance and overage is enabled. Enterprise does not have a standard public monthly price because contracts are customized around usage, security, concurrency, and organizational requirements.

How Gumloop Pricing and Credits Work

Gumloop combines subscription pricing with usage-based billing.

Your monthly subscription provides a pool of credits. Those credits are consumed as agents use AI models, call external tools, and spend active time performing tasks.

Four main cost components can appear in a normal agent interaction:

This distinction matters because 20,000 credits do not equal 20,000 agent conversations or 20,000 completed automations.

A lightweight request may consume only a few credits. Research-heavy tasks using a sophisticated model, several integrations, external data, and extended reasoning can consume far more.

Why Your Gumloop Monthly Cost Can Vary

Gumloop uses usage-based AI pricing, so the real cost depends on the resources an automation consumes.

Model tokens, active compute time, connector calls, third-party services, and orchestration can all contribute to credit usage. Two companies on the same Pro subscription can therefore consume credits at very different rates.

For practical budgeting, measure actual credits per successful task instead of relying only on the advertised monthly plan price.

What Is a Gumloop Credit?

A Gumloop credit is the platform’s internal billing unit for eligible AI usage, tool calls, compute, and related activity. Gumloop currently values 1 credit at $0.005, which means $1 equals 200 credits. The number of credits a task consumes depends on the resources used during execution.

If an underlying model operation costs $0.03, that cost translates to approximately six Gumloop credits.

Credits act as Gumloop’s internal billing currency. Instead of presenting dozens of tiny charges for models, compute, and tools separately in dollars, eligible usage is converted into credits.

One important distinction is that the effective cost of credits bundled into Pro is lower than the standard list value.

Effective Cost of Gumloop’s 20,000 Included Credits

The Gumloop Pro plan includes 20,000 credits per month for a starting subscription price of $37.

The current allocation consists of:

• 7,400 credits at the standard credit value
• 12,600 bonus credits
• 20,000 total monthly credits

If you divide the subscription price by the full monthly allowance:

$37 ÷ 20,000 = approximately $0.00185 per included credit

That figure represents the effective subscription cost of an included credit. It does not replace Gumloop’s standard published value of $0.005 per credit.

The distinction becomes important once you move beyond the included allowance because overage credits return to the normal rate.

A business consistently staying inside its 20,000 monthly credits therefore gets considerably better economics than a team routinely purchasing substantial overage.

What Determines the Cost of a Gumloop Agent?

The cost of a Gumloop agent depends on the model it uses, the amount of context it processes, the tools it calls, active compute time, and the orchestration fee. A short classification request can use far fewer credits than a research task that searches multiple sources and reasons for several minutes.

Chat and Reasoning Costs

Chat and reasoning costs depend on the AI model and the number of tokens processed.

Smaller models typically cost less than frontier models designed for advanced reasoning. Longer conversations can also cost more because the agent may need to process more historical context on each turn.

Tool availability can increase context size because the agent needs information describing the tools it can use. A short classification task and a deep research request can therefore have very different costs.

Tool Call Costs

Successful connector calls can consume Gumloop credits. A successful connector call generally costs at least one credit, while enrichment, search, scraping, or other third-party data services can add their own usage charges.

This matters for high-volume sales and marketing automation. Testing a workflow with ten prospects may cost very little, while running the same process against 10,000 prospects can change the economics quickly.

Test per-record usage before scaling a Gumloop automation.

Compute Costs

Gumloop currently charges 5 credits per active agent session-minute.

Only active processing matters. Time spent waiting for the user does not create active compute usage.

Compute is usually less noticeable for quick tasks but becomes more important when an agent spends several minutes researching, reasoning, or coordinating multiple actions.

What Is Gumloop’s 8% Orchestration Fee?

Gumloop’s standard agent orchestration fee is 8% of eligible Chat & Reasoning, Compute, and Tool Call costs. The fee covers the platform layer that coordinates the agent loop, so it is added after the eligible usage subtotal rather than charged as a separate fixed subscription.

Illustrative example. This is not a fixed Gumloop agent cost.

Suppose an agent consumes:

• 400 credits in Chat & Reasoning
• 10 credits in Compute
• 15 credits in Tool Calls

The subtotal is:

425 credits

An 8% orchestration charge adds approximately:

34 credits

Total:

459 credits

At the normal $0.005 list value:

459 × $0.005 = approximately $2.30

How Much Does One Gumloop AI Agent Cost?

There is no single fixed price for one Gumloop AI agent. A simple agent using a lower cost model and few tool calls may consume relatively few credits, while a research agent using a frontier model, multiple searches, external tools, several minutes of reasoning, and a long conversation history can consume much more.

For practical budgeting, calculate an agent’s average cost per successful task, then multiply that by expected monthly usage.

Illustrative example. This is not a fixed Gumloop agent rate.

100 credits per completed task × 500 monthly tasks = 50,000 credits

That workload would exceed the standard Pro allowance before considering other automations.

Gumloop Pro Pricing: What Do You Get for $37 Per Month?

For most buyers, Gumloop Pro is the logical starting point.

The plan currently includes:

• 20,000 credits per month
• Unlimited AI agents
• Access to 35+ AI models
• Unlimited seats
• Unlimited teams
• Bring Your Own API Key support
• One hosted MCP server
• Five concurrent workflow runs
• 25 concurrent agent chats
• Email support
• Agent-level connector policies and guardrails

Unlimited seats can be especially useful for collaborative teams because Gumloop does not use individual seat count as its primary pricing lever.

A twenty-person company running lightweight internal workflows could consume fewer credits than a three-person research team running sophisticated agents throughout the day. The difference becomes clearer when compared with software billed per member. For example, Notion AI pricing and credits combine workspace membership costs with usage-based AI charges, while Gumloop Pro currently allows unlimited seats and focuses much more heavily on automation consumption.

Who Is Gumloop Pro Best For?

Gumloop Pro is best suited to individuals and teams that need meaningful AI automation without enterprise administration or very high execution capacity. It is especially relevant when workflows require research, extraction, analysis, judgment, or coordination across several systems rather than simple trigger based automation.

Typical examples include:

• marketing teams automating research
• sales operations teams handling lead and CRM data
• small businesses building internal AI agents
• agencies creating repeatable research pipelines
• analysts processing documents and web data
• operations teams automating repetitive knowledge work.

Gumloop is harder to justify if your automation requirements are extremely basic.

If all you need is “when this form is submitted, post a message in Slack,” a conventional automation platform may handle that job with less complexity.

The workflow becomes more compelling when it requires reasoning, extraction, analysis, research, judgment, or coordination across several systems.

Gumloop Enterprise Pricing

Gumloop does not publish a fixed Enterprise subscription price.

Instead, Enterprise pricing is custom, with credits, concurrency, support, and other commercial terms configured around the organization’s requirements.

Enterprise can include:

• credit allocations customized to requirements
• workflow concurrency customized to requirements
• agent concurrency customized to requirements
• negotiated orchestration fees
• credit rollover
• role-based access control
• SCIM and SAML support
• audit logs
• organization-wide connector controls
• advanced administrative controls
• configurable data retention
• AI model access policies
• data exports
• custom MCP hosting
• optional VPC deployment.

Enterprise should therefore not be viewed simply as “Pro with more credits.”

Much of its value comes from governance, security, administration, deployment flexibility, and higher operational limits.

When Does Enterprise Make More Sense Than Pro?

Enterprise makes more sense when Gumloop becomes shared infrastructure across an organization and the team needs stronger security, governance, identity management, auditability, concurrency, spending controls, or contractual support. It is designed for operational requirements that go beyond the standard Pro limits rather than simply adding more credits.

Common triggers include:

• regularly exceeding the Pro credit allowance
• needing significantly more simultaneous agent activity
• requiring centralized identity management
• implementing strict security policies
• needing detailed audit logs
• running AI agents against sensitive corporate data
• requiring stronger spending controls
• needing contractual support or infrastructure flexibility.

Enterprise arrangements can also support credit rollover, while Pro credits do not roll forward. That can matter for companies with highly seasonal workloads.

Gumloop Pro vs Enterprise

Which Gumloop Plan Should You Choose?

For most individuals, agencies, small businesses, and smaller automation teams, Pro is the sensible place to start.

Enterprise makes more sense when Gumloop becomes part of business-critical infrastructure and security, governance, concurrency, or predictable capacity become more important than simply gaining access to the platform.

Alternative Gumloop Pro Offer Through Primingo

Primingo currently lists a separate Gumloop Pro subscription option for buyers who prefer a longer fixed-duration purchase rather than paying Gumloop month by month.

This is a separate marketplace offer and should not be confused with Gumloop’s official direct $37-per-month starting price.

For someone who has already decided that Gumloop fits their workflow and wants a longer-duration option, they can Get gumloop subscription on primingo and compare that offer with buying directly from Gumloop before choosing how they want to subscribe.

Gumloop Agents vs Workflows: Which Uses More Credits?

Agents and deterministic workflows are not economically identical.

An agent can decide what to do next, select tools, reason about results, and continue working based on what it discovers.

That flexibility is useful, but it also introduces variable usage.

A deterministic workflow follows a predefined path.

For example:

Read a record, apply a condition, update the spreadsheet, then notify Slack.

There is much less uncertainty about what that workflow will execute.

An agent might instead receive:

Research this company and tell me whether it fits our target customer profile.

The agent could search several sources, inspect a website, query another system, analyze the findings, and then generate a recommendation.

Both consume Gumloop resources, but autonomous agents generally produce more variable costs because they can reason, select tools, and decide how many steps to execute. Deterministic workflows are usually easier to forecast because their execution path is predefined.

The practical lesson is straightforward:

Do not use an autonomous agent for a task that can reliably be handled with simple deterministic logic.

Reserve agents for jobs where reasoning and flexibility add real value.

Different agent platforms structure their limits differently. A coding-focused service, for example, may rely more heavily on quotas and capacity limits, which is why looking at Antigravity AI pricing provides a useful contrast with Gumloop’s task-driven credit model.

How to Estimate Your Gumloop Automation Cost

Exact Gumloop costs depend on the models, tools, runtime, and workflow design involved.

That makes fixed “your workflow will cost exactly X” estimates unreliable.

A better approach is to estimate each workload from actual test runs.

This model is increasingly common in AI software. A developer using Replit AI pricing and usage costs faces a similar budgeting question: the base subscription matters, but the workload being executed can determine the final cost.

Gumloop Cost Example: Lightweight Automation

Suppose your workflow reads structured information from one system, applies basic logic, and sends the result somewhere else.

There is little AI reasoning involved.

Credit consumption may remain relatively low because most of the work consists of straightforward automation rather than expensive model processing.

For this kind of workload, the included monthly allowance can potentially cover a substantial number of executions.

Gumloop Cost Example: AI Research Agent

Now consider an agent that receives:

Example research prompt: Research this competitor and summarize its pricing, positioning, customer segment, and recent product developments.

The agent may need to:

1. understand the research goal
2. perform searches
3. open multiple sources
4. compare information
5. call additional tools
6. reason about conflicting findings
7. generate the final response.

That task can involve model costs, tool calls, compute time, and orchestration fees.

Two research requests that sound similar may also use very different numbers of credits depending on how deeply the agent investigates.

If research is the primary need rather than multi-app automation, it can also be useful to compare a dedicated research product. Perplexity AI cost follows a different subscription and heavy-usage model, which can make the comparison useful before paying for a broader automation platform.

Gumloop Cost Example: High-Volume Lead Enrichment

Lead enrichment deserves extra attention because costs can scale rapidly.

If a third-party enrichment operation costs credits for every contact or returned result, processing:

10 leads

and processing:

10,000 leads

are fundamentally different financial events.

Before running a large enrichment workflow, test a representative sample.

A useful calculation is:

Average credits per completed record × expected monthly records

Illustrative example. This is not a fixed Gumloop lead-enrichment rate.

If a production-quality process averages 15 credits per record and you expect to process 1,000 records:

15 × 1,000 = 15,000 credits

That gives you a much clearer picture of whether Pro can support the workload than simply looking at the monthly subscription price.

What Happens When You Use All 20,000 Gumloop Credits?

When the included 20,000 Pro credits are used, Gumloop users can enable overage and continue running workflows under a pay as you go pricing model. Additional credits currently cost $0.005 per credit, so teams that regularly exceed the included allowance should review usage before scaling.

Additional credits therefore cost more on the margin than the effective bundled price of credits included with Pro.

Occasional overage may be reasonable. Regularly exceeding the included allowance deserves a closer financial review.

Overage Pricing and Spending Caps

Gumloop lets Pro users control overage spending rather than leaving usage completely unrestricted.

The currently documented default maximum is 1,000,000 overage credits, equivalent to $5,000 at the standard credit price, although users can configure a lower limit.

For most small companies, setting a realistic internal cap is more sensible than leaving the maximum untouched.

Think of the spending limit as a safety mechanism.

If your expected Gumloop bill is $37 to $150 per month, there is little reason to allow thousands of dollars in accidental overage.

Usage notifications can also help identify unusual consumption before the allowance disappears completely.

Does Gumloop Have a Free Plan or Free Trial in 2026?

Gumloop does not currently advertise a permanent Free plan for new customers. New users can start with a 14 day Pro trial.

The current public structure centers on:

• Pro
• Enterprise
• a 14-day Pro trial

This can be confusing because older Gumloop reviews and pricing guides still mention a recurring Free plan.

Earlier pricing structures included free access and different plan names that no longer represent the main current public pricing offer.

For anyone researching Gumloop pricing in 2026, current pricing information should take precedence over older third-party articles.

Gumloop’s 14-Day Pro Trial

New users can currently start with a 14-day Pro trial.

The trial is intended to let businesses test the platform before committing to a paid subscription.

Current trial terms include:

• 14 days of Pro access
• payment card required
• one-time trial availability
• automatic transition to paid Pro unless cancelled before the trial ends.

The most useful way to use the trial is to test a real production candidate.

Avoid spending the entire trial building trivial demonstrations.

Choose a process your business genuinely wants to automate and measure:

1. credits per successful execution
2. average daily or monthly execution volume
3. peak concurrency
4. external data-provider costs
5. AI model usage
6. how much manual work is actually eliminated.

Then calculate:

Average credits per run × expected monthly runs

This gives you a meaningful forecast of your likely Gumloop AI cost.

What Happened to the Old Gumloop Free, Solo, and Team Plans?

Gumloop changed its pricing structure over time. Older reviews may refer to Free, Solo, and Team plans, but those names do not represent the current main public lineup.

Older reviews may mention:

• Free
• Solo
• Team

Those labels should not automatically be treated as the current main pricing lineup.

Solo and Team were consolidated into Pro as Gumloop simplified its paid pricing structure. Older material can therefore contain plan names, credit allowances, or Free-plan references that differ from the current public pricing page.

This is one reason checking the publication date of a Gumloop pricing review matters. A technically accurate article from an earlier pricing period can still be outdated today.

Gumloop BYOK Pricing: Does It Actually Reduce Costs?

Gumloop supports Bring Your Own Key, commonly shortened to BYOK.

This lets you connect compatible AI-provider API credentials and pay the underlying provider directly for supported model usage.

Under Gumloop’s current credit documentation, eligible Chat & Reasoning model usage with BYOK can become:

0 Gumloop credits

Eligible image-generation and transcription model usage can also move away from Gumloop credit consumption.

However:

• tool calls can still consume credits
• compute can still consume credits
• third-party tool charges still apply
• you pay the AI provider directly
• the agent orchestration fee changes.

For BYOK agent usage, Gumloop’s orchestration fee currently increases from the standard 8% to 16%.

That means BYOK is best understood as a change in where the money is spent, not free AI usage.

Gumloop waives the eligible model-credit component while the provider bills you separately for those model tokens.

Because pricing mechanics can change independently from the subscription price, BYOK calculations should always be checked against Gumloop’s current credit terms before making a large cost decision.

When Does BYOK Make Financial Sense?

BYOK can make financial sense when model usage represents a large share of your Gumloop credit consumption and your company already has supported provider accounts or negotiated rates. It can also help teams separate platform spending from model spending, but the total cost still needs to be compared across both systems.

This option can make sense when:

• your company already maintains supported AI-provider API accounts
• you have negotiated model-provider rates
• AI model usage dominates your Gumloop credit consumption
• you want cleaner separation between platform and model spending
• you need more control over provider-level billing.

It is less compelling when model consumption is small.

For light users, managing another API account and invoice may provide little practical benefit.

Always compare total spend across both systems.

A lower Gumloop credit bill does not automatically mean a lower overall automation cost.

How to Reduce Gumloop Credit Usage and Monthly Costs

The strongest Gumloop cost savings usually come from better architecture, not from finding a cheaper subscription.

Reduce AI Model and Context Costs

Do not send every request to the most powerful model available.

Routine jobs such as classification, formatting, extracting simple fields, rewriting short text, and basic categorization often do not require expensive frontier reasoning.

Reserve high-end models for tasks where stronger reasoning genuinely changes the result.

Agent conversations can also become progressively more expensive as context grows.

If one task has finished and the next request is unrelated, starting a fresh conversation can reduce unnecessary historical context.

That is particularly relevant for agents used throughout an entire working day.

Reduce Tool and Data Costs

Connect only the tools an agent genuinely needs.

Agents need information describing available tools, so giving an agent dozens of integrations “just in case” can increase context and complexity even when it only needs a few.

Cheap filtering logic should also normally run before expensive AI processing.

Suppose 40% of incoming records are obviously irrelevant. Filtering them with a simple condition before AI analysis means the model never needs to process those records.

At low volume, the difference may seem trivial. Across thousands of operations, it can become substantial.

Test Small Batches Before Scaling

One of the easiest ways to waste usage-based credits is launching a large workflow before validating it.

A safer process is:

1. test one record
2. confirm the output
3. test ten
4. calculate approximate credit consumption
5. scale gradually.

That process also catches faulty prompts, loops, integration problems, and unexpectedly expensive tools before they become costly.

When reasoning is unnecessary, use deterministic workflow logic instead of an autonomous agent.

If model calls dominate spending, BYOK also deserves a proper cost test.

Compare:

standard Gumloop usage

with:

BYOK + direct provider charges + Gumloop’s remaining credits and fees

before deciding.

Failed connector calls are generally not charged like successful calls, waiting for human input does not create active compute usage, and Pro includes unlimited seats and teams. Those details can materially improve the economics for collaborative teams.

Is Gumloop Worth It in 2026?

Gumloop is worth considering when AI-driven workflows replace meaningful manual work and usage stays economically reasonable. It is harder to justify for simple trigger-action automation or workloads dominated by expensive, high-volume data operations.

The strongest use case is usually a process that currently requires meaningful human effort.

Suppose a researcher spends four hours each week:

• gathering company information
• reading websites
• comparing products
• extracting structured facts
• writing internal reports.

If Gumloop reduces most of that work to a supervised automated process, the subscription can be relatively easy to justify.

The economics are less attractive when the workload mainly consists of expensive enrichment calls, long-running research agents, or massive high-frequency data processing.

Gumloop Is Likely Worth It If

It is worth considering when:

• AI reasoning is central to your workflows
• multiple team members need access
• you need AI models and business integrations in one environment
• manual research or operations consume significant staff time
• you can operate reasonably close to the included credit allowance
• no-code implementation matters to your team.

Gumloop May Not Be Worth It If

Gumloop may be less suitable when:

• you only need basic trigger-action automation
• fixed monthly costs are essential
• you process millions of simple events
• custom scripts can handle your use case more cheaply
• enrichment or paid external data dominates your automation
• you require Enterprise controls but cannot justify custom pricing.

The practical verdict is that Gumloop Pro can offer strong value for AI-heavy automation, but its real cost depends more on workload design than user count.

Run the workflow you actually intend to use, measure its credit consumption, estimate realistic monthly volume, and make the decision from those numbers.

Gumloop Pricing FAQs

How Much Does Gumloop Cost After 20,000 Credits?

Gumloop Pro overage is currently billed at $0.005 per additional credit when overage is enabled. Users can configure a spending cap so an automation cannot continue spending indefinitely beyond the monthly allowance.

Does Gumloop Charge Per User?

No. Gumloop Pro currently includes unlimited seats and unlimited teams, so the core pricing model is driven much more by automation usage than by adding a separate subscription charge for each team member.

How Many Tasks Can 20,000 Gumloop Credits Run?

There is no fixed task count because credit usage varies by model, tool calls, compute time, and workflow design. Divide 20,000 by your measured average credits per successful task to estimate monthly capacity.

Does BYOK Make Gumloop Free to Run?

No. Under Gumloop’s current credit documentation, eligible model calls can fall to zero Gumloop credits when BYOK is used, but tool calls and compute can still consume credits, third-party charges can remain, and the standard agent orchestration fee increases from 8% to 16%. You also pay the AI provider directly for model usage.

Is Gumloop Priced Per Workflow?

No fixed price applies to every workflow. The cost depends on the AI models, tools, compute time, and other resources used during execution.