Manus AI Pricing 2025: Why Credits Are Costing You More Than You Think

You've seen the Manus AI demos. The viral videos. The "holy shit, it built an entire app" tweets. And then you checked the pricing page and thought: "Wait, how much will this actually cost me?"

You're not alone. Manus AI's credit-based pricing has become one of the most discussed (and criticized) aspects of the platform. Let's break down what you're actually paying for, why users are frustrated, and whether there's a better way to get AI agents working for your business.

Manus AI Pricing: The Credit System Explained

Manus AI runs on a credit-based model. Here's what their plans look like in 2025:

Sounds reasonable on paper. But here's where it gets interesting.

The Problem Nobody Tells You About

You have no idea what anything costs until it's done.

Manus doesn't show you how many credits a task will consume before you start it. You hit "go" and hope for the best. Users on Reddit have reported burning through 900+ credits on a single task. That's nearly half your monthly Basic plan allocation. Gone. On one request.

Let that sink in.

The math gets ugly fast. Say you're on the Plus plan at $39/month with 7,800 total credits (including promo). If complex tasks eat 500-900 credits each, you're looking at maybe 10-15 meaningful tasks per month. That's roughly $2.60-$3.90 per task. And if the AI gets confused or needs multiple attempts? Those credits are gone too.

Use it or lose it. Unused credits don't roll over. Had a slow month? Too bad. Those credits evaporate at midnight on your billing date.

Tasks can stop mid-execution. When credits run out, Manus stops. Not "pauses until you add more." Stops. Mid-project. Hope you didn't need that deliverable.

What Users Are Actually Saying

The frustration is real. From Reddit threads:

"I watched 900 credits disappear on what I thought was a simple task. There's no way to predict this."

"The lack of transparency around credit usage is genuinely frustrating. I feel like I'm gambling every time I submit a prompt."

"Great demos, but I can't run a business on a system where I don't know my costs until after I've spent them."

To be fair, Manus AI produces impressive results when it works. The demos aren't fake. But demos don't have budgets.

There's Another Way: Predictable AI Employees

What if your AI agent had a flat monthly cost? What if you knew exactly what you'd pay before the month started?

That's the model we built at Geta.Team.

Instead of credits that drain unpredictably, you get AI employees with fixed licensing. Here's how it works:

No credits. No surprises. No "oops, you ran out mid-task."

Why the Pricing Model Matters

The difference isn't just philosophical. It changes how you work:

With credit-based systems: You hesitate before every task. Is this worth 500 credits? Should I wait? Can I phrase this more efficiently to save credits? You become a prompt accountant instead of someone getting work done.

With flat-rate AI employees: You just... use them. Need 50 tasks today? Fine. Need 5? Also fine. Your AI employee is there, ready, and you're not calculating ROI on every interaction.

What Geta.Team Does Differently

Beyond pricing, there are fundamental differences in approach:

Persistent memory. Your AI employee remembers everything. Client preferences, project history, your working style. Manus starts fresh each session.

Real communication channels. Each AI employee has their own email address and phone number. They communicate over Slack, Teams, or email—the same channels your human team uses. No special interfaces to learn.

BYOA (Bring Your Own API keys). You control your AI costs directly through your own Claude and Gemini accounts. Full transparency. No markup on API calls.

Self-hosted option. Your data stays on your infrastructure. Not on someone else's servers. Not training someone else's models.

Skills on demand. Need your AI employee to do something new? They can create custom skills for any API or workflow. You're not limited to a premade feature list.

The Real Cost Comparison

Let's do the math on a realistic month:

Manus AI (Pro plan): $199/month

• ~40,000 credits
• If tasks average 500 credits: ~80 tasks/month
• Cost per task: ~$2.49
• Risk: Could be fewer if tasks run complex

Geta.Team (Enterprise, 1 employee): $200/month

• Unlimited tasks
• Your own API costs (Claude Pro ~$20/month)
• Total: ~$220/month
• Cost per task: Depends on usage. 100 tasks = $2.20 each. 500 tasks = $0.44 each.

The more you use Geta.Team, the cheaper each task becomes. The more you use Manus, the faster you hit zero credits.

Who Should Use What?

Manus AI might work if:

• You have occasional, one-off complex tasks
• You don't mind unpredictable costs
• You're experimenting and not running production workflows

Geta.Team is better if:

• You need consistent, daily AI assistance
• Budget predictability matters
• You want AI that learns and remembers your business
• Data privacy is non-negotiable
• You're tired of prompt-engineering to save credits

The Bottom Line

Manus AI's credit system creates friction between you and your AI. Every task becomes a cost-benefit calculation. That's not how you'd work with a human employee, and it's not how AI employees should work either.

Predictable pricing lets you actually use AI the way it's meant to be used: as a team member who's always available, always learning, and never makes you check your balance before asking a question.

Want to see the difference? Try it here: https://Geta.Team