Google’s $100 Gemini ‘Neon’ Tier Changes AI Math for Agencies

For the last year, the choice for serious AI users has been awkward. The $20/month plans from Google and Anthropic are great for solo work, but you hit their limits fast on real client projects. The enterprise plans are powerful, but the jump to several hundred dollars a month is too steep for most small agencies and design teams.

Google seems to have heard this. A new Gemini plan, codenamed “Neon,” has been leaked. It’s expected to land around $100 a month and sit right in that gap. More importantly, it’s rumored to come with a feature that every agency owner has been asking for: a live token dashboard.

This isn’t just a new pricing tier. It’s a new way to think about the cost of AI in a creative business. It turns AI usage from a fuzzy overhead cost into a clear, billable line item. For agencies, that changes everything.

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What actually shipped

To be clear, this is a leak, first reported by 9to5Google and Android Authority. It hasn’t been officially announced by Google yet, but the details are specific enough to be credible. The announcement is expected at Google I/O later this month.

Here’s what we know about the “Neon” tier, which will likely be called something like Gemini Advanced or Ultra Lite at launch:

• Price: Around $100 per month. This places it firmly between the current $20/month Gemini Pro and the much more expensive Gemini Ultra plans, which are bundled with enterprise services.
• Audience: Power users, developers, and small teams who need more capacity than Pro offers but don’t need the full-scale enterprise features of Ultra. Think small design agencies, freelance developers, and in-house marketing teams.
• Key Feature: A live token usage dashboard. This is the big one. It lets you see exactly how many tokens you’re using in real-time. This is critical for anyone doing client work, as it allows for precise cost tracking and billing.

┌─────────────┐     ┌──────────────────┐     ┌──────────────────┐
│ Gemini Pro  │     │ Gemini "Neon"    │     │ Gemini Ultra     │
│ (~$20/mo)   ├────>│ (~$100/mo)       ├────>│ (~$250+/mo)      │
└─────────────┘     └──────────────────┘     └──────────────────┘
      ↓                     ↓                        ↓
Solo Designer         Power User / Agency      Small Team / Corp
Quick tasks           Billable client work     Heavy API usage
No usage tracking     Live token dashboard     Custom models

This move mirrors what we’re seeing across the industry. The initial consumer-focused plans are maturing into a more professional-grade stack. This new tier isn’t for hobbyists; it’s for people whose jobs depend on these tools.

Google isn’t just selling a more powerful model; they’re selling financial clarity for businesses that run on AI.

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Why this matters for design and agency work

A new pricing tier is interesting, but the token dashboard is the real story for anyone running a business. Until now, tracking the exact cost of an AI-driven project has been a mess. You pay a flat monthly fee for a tool like Claude Pro or ChatGPT Plus, and you just absorb that as overhead.

This makes it hard to price projects accurately. How much should you charge a client for generating 50 pages of AEO content? You’re guessing based on time, not on the actual resources used. A live token dashboard fixes this. You can create a project for Client A, run your workflows, and see that it consumed exactly $17.42 worth of tokens. You can then bill that cost back to the client with a markup, just like any other project expense.

For designers, this tier provides a much-needed step up in power without a huge price jump. You can run more complex prompts, generate larger amounts of code for a website build, or analyze bigger documents without hitting the restrictive rate limits of the $20 plans. It makes the tool more reliable for day-to-day professional work.

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Here’s how I’d actually use this

Let’s get practical. If this tier dropped tomorrow, here’s how I’d immediately put it to work on a real client project: building an AEO content engine for a new website launch.

1. Set up a client-specific project. The first thing I’d do in the Google AI Studio is create a new project named “Client X – AEO Content.” This isolates all the work and token usage for this specific client, keeping the billing clean.
2. Develop a master AEO article prompt. I’d spend an hour or two crafting the perfect master prompt. It would include instructions on tone of voice, target audience, keyword density, internal linking structure, schema markup, and a call to action. This becomes a reusable asset for the project. I use a similar system with the Claude Toolkit I’ve built.
3. Run content batches. With the master prompt dialed in, I’d feed it a list of 20 target keywords for the client. The AI would then generate the first draft of all 20 articles. This is the kind of task that would instantly choke a $20/month plan but is perfect for this mid-tier.
4. Report the exact cost. At the end of the process, I’d go to the live token dashboard for the “Client X” project. It might show a total usage of 1.5 million tokens. I can take that number, calculate the exact cost, and add it as a line item on the client’s invoice. No guesswork.

This workflow turns AI from a magical black box into a predictable, manageable, and profitable production tool. *If you can talk it, you can build it.* And now, you can bill for it accurately, too.

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What this changes for designer-run agency work

This new tier isn’t just a new tool; it creates three important shifts for how agencies and design businesses operate.

Billing for AI usage becomes transparent and easy. This is the biggest change. You can stop hiding AI costs in your overhead and start treating it like any other direct project cost. This makes your proposals more honest and your business more profitable. You can confidently sell an “AI Content Package” because you know exactly what it costs you to deliver.

You can sell more powerful AI services without the enterprise price tag. Many agencies have held back on offering services like programmatic SEO or large-scale content generation because the tooling was either too weak or too expensive. This middle tier unlocks those services for smaller clients and smaller agencies. It’s the perfect balance of power and price for the sub-enterprise market.

It standardizes the “power user” seat in your agency. Who on your team gets the $100/month seat? It forces you to think about who is actually using these tools to generate revenue. It’s likely your lead content strategist, your lead designer who uses it for code, or your AEO specialist. It helps define roles and responsibilities in an AI-driven workflow.

This is a sign of a maturing market. The tools are becoming less about general-purpose chat and more about specialized professional workflows. As an agency owner, this is exactly what you want to see.

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My $0.02 — How I’d roll this out for a design business

When this officially launches, don’t wait. Here’s a simple 3-day plan to test it and integrate it into your offers.

Day 1 — Audit your current AI stack. Make a list of every AI tool you and your team pay for. Note the monthly cost and, more importantly, where you’re hitting limits. Are you constantly getting rate-limited on ChatGPT Plus? Is your team sharing one login? Identify the biggest point of friction that a more powerful, cost-trackable plan could solve.

Day 2 — Run a real-world test. Sign up for one seat on the new Gemini tier. Pick one real, billable client task from your project board — something you were going to do anyway. It could be writing blog posts, generating ad copy, or creating a component for a website. Run the entire task on the new tier and track your time and the token usage on the dashboard.

Day 3 — Update your service offerings. Based on your test, you now have real data on the cost and speed of a specific AI-driven service. Go into your proposal template and add a new optional line item. Something like: “AEO Content Foundation: Includes 20 AI-generated, human-edited articles to target key search terms. Direct AI cost: ~$XX.XX.” You’re now selling a specific, quantifiable outcome.

This is the exact process I use for MK-Way. We test new tools on our own work first. If it saves time or unlocks a new service, it immediately gets productized and rolled into our client offerings.

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FAQ

Is the Google ‘Neon’ tier official?
Not yet. The details come from credible leaks reported by 9to5Google and Android Authority. An official announcement is expected at Google I/O or shortly after.

How does this compare to Claude’s or OpenAI’s plans?
It seems designed to compete directly with the Claude Pro to Claude Team plan transition and the ChatGPT Plus to ChatGPT Team plans. The key differentiator for Google appears to be the granular, real-time token dashboard for individual users, which is a big deal for freelancers and small agencies.

Who is this plan NOT for?
It’s probably not for casual users who are happy with the free or $20/month tiers. It’s also not for large enterprises that need the security, admin controls, and custom model training that come with the full Ultra/Enterprise plans. It’s specifically for the professional in the middle.

What does a ‘live token dashboard’ actually let me do?
It shows you, in real-time, how much of the AI’s processing power you are using. This allows you to attribute a specific dollar cost to a specific task. For example, you can see that generating one article cost $0.85, while summarizing a long document cost $0.30.

Will this tier include API access?
That’s the big question. The leaks suggest it’s aimed at power users of the chat interface, but it would be a huge win if it included a generous amount of API credits and the same dashboard for tracking API usage. We’ll have to wait for the official announcement.

Is Gemini better than Claude or GPT-4 for agency work?
It depends on the task. I find Claude excels at writing, reasoning, and coding. Gemini has a huge advantage with its deep integration into the Google ecosystem (Search, Docs, etc.). The best model is the one that fits your specific workflow. This new tier makes Gemini a much more viable option for cost-conscious professional work.

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Want help applying this?

Four ways to go deeper:

• Build with Builders. Join the Talk-to-Build community to learn how to Earn money with AI, Download our AI Skills, Advance your business, and learn to build real assets — AI-native websites, cinematic AI video, agent-driven workflows — that you can sell to SMBs who want the outcomes but don’t have time to learn the skills.
• 1-on-1 working session. Skip the friction. Book a screen-share with me — bring a real problem, leave with a working piece of it.
• Done-for-you. MK-Way builds AEO-ready websites, apps, and AI agent workflows for design agencies and founders who want it shipped fast.
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This post is part of the AI Pulse atomic series. If you commented “GEMINI” on one of my videos — this is the breakdown. Sources: 9to5Google, Android Authority.

Last updated: 2026-05-27.