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