Do You Really Need the “Pro” AI Model (For Everything)?

AI tools like GPT-4o and Gemini Pro offer different pricing and quality. Do you need the top-tier model, or will a simpler, cheaper option work just as well? Here's the cost breakdown.

I’ve mentioned before that I am NOT handy.

About 30 years ago (yikes!) when I first married, I tried to impress my wife by “installing” closet shelves for my wife.

I spent two hours at Home Depot buying a cartful of pieces and parts for shelving and hangers.

That was Saturday morning.

Saturday night during dinner, we heard a loud crash in our bedroom.

The entire closet had imploded on itself.

My father-in-law came by two days later with a steel pipe.

In one minute, he wedged it between two studs, and the closet was fixed.

I learned a valuable lesson.

Solutions don’t need to be fancy and expensive—they should be as simple as they need to be.

All the pay-as-you-go LLM models have a large “pro” model and a smaller low-priced model.

So let’s do a quick comparison between Gemini and OpenAI.

We want to create a social media post every day.

If every social media post involves back-and-forth conversation, we can assume that each exchange includes additional tokens for both input and output.

Let’s estimate that each post requires 5 exchanges of 500 tokens (input) and 500 tokens (output) each, leading to a total of 10,000 tokens per post (500 input + 500 output × 5 exchanges).

Now, let’s recalculate the total yearly cost for 365 posts, with each post requiring 10,000 tokens.

So we’re assuming . . .

  • Each social media post requires 10,000 tokens for back-and-forth conversation (5 exchanges).

  • 365 posts per year = 3,650,000 tokens (input + output combined).

Pricing Breakdown for Each Model:

1. GPT-4o

  • Input: $2.50 per million tokens

  • Output: $1.25 per million tokens

  • Total tokens per post = 10,000 tokens (5 input + 5 output)

2. GPT-4o Mini

  • Input: $0.150 per million tokens

  • Output: $0.60 per million tokens

  • Total tokens per post = 10,000 tokens (5 input + 5 output)

3. Gemini 1.5 Flash

  • Input: $0.075 per million tokens

  • Output: $0.30 per million tokens

  • Total tokens per post = 10,000 tokens (5 input + 5 output)

4. Gemini Pro

  • Input: $1.25 per million tokens

  • Output: $5.00 per million tokens

  • Total tokens per post = 10,000 tokens (5 input + 5 output)

Cost Calculation for 365 Posts (10,000 tokens per post):

Model

Cost per Million Input Tokens

Cost per Million Output Tokens

Total Cost per Post (Input + Output)

Total Yearly Cost for 365 Posts

GPT-4o

$2.50

$1.25

($2.50 + $1.25) × 10 / 1,000 = $0.0375

$0.0375 × 365 = $13.69

GPT-4o Mini

$0.150

$0.60

($0.150 + $0.60) × 10 / 1,000 = $0.0075

$0.0075 × 365 = $2.74

Gemini 1.5 Flash

$0.075

$0.30

($0.075 + $0.30) × 10 / 1,000 = $0.00375

$0.00375 × 365 = $1.37

Gemini Pro

$1.25

$5.00

($1.25 + $5.00) × 10 / 1,000 = $0.0625

$0.0625 × 365 = $22.81

Summary of Yearly Costs (for 365 posts with back-and-forth conversation):

Model

Total Yearly Cost for 365 Posts

GPT-4o

$13.69

GPT-4o Mini

$2.74

Gemini 1.5 Flash

$1.37

Gemini Pro

$22.81

Conclusion:

  • Gemini 1.5 Flash remains the most cost-effective option at $1.37 for 365 posts involving back-and-forth conversation.

  • GPT-4o Mini costs $2.74, which is more expensive than Gemini Flash but still affordable.

  • GPT-4o increases significantly in cost to $13.69 for 365 posts.

  • Gemini Pro is the most expensive, costing $22.81 for the same 365 posts.

Now this is JUST for social media posts . . . not accounting for all the other stuff we do.

And when we start talking about AI Assistants and AI automation, costs can really start to add up.

So . . . should you use GPT-4o Mini or GPT-4o? Only YOU can answer that question.

You may sincerely like the content of GPT-4o WAY better.

But if a steel rod (4o Mini) works for you, then why spend extra money on fancy shelving (GPT-4o)?

Troy's One Cool Thing of the Day

Key Features:

  • 🤖 AI Engine: Embedded AI handles routine project management tasks automatically.

  • 🐛 Bug Triage: Automates the process of sorting and prioritizing software bugs.

  • 📊 Backlog Grooming: Helps maintain and organize project backlogs without manual effort.

  • 📝 Documentation Updates: Automatically keeps project documentation up-to-date.

  • 👥 Team Collaboration: Facilitates better teamwork through AI-assisted project management.

The Bottom Line: Height aims to enhance project collaboration and productivity by automating routine tasks, potentially allowing teams to focus more on strategic work and less on administrative chores.

🕵🏻‍♂️ Here's how to find me:

Disclaimer: Just a heads-up! Some of the links in this newsletter might be affiliate links, which means I could earn a small commission if you make a purchase. No extra cost to you… just a way to keep the magic coming!

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