Which ChatGPT Model Should You Use?
🔥ChatGPT Cheat Sheet + 2 Pro Tips to 5x Your Outcome
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Hi there!
I recently shared “Six AIs. One Prompt. Who Nailed It?” and received lots of great feedback from you, including super powerful tips & tricks on how to optimize results across models, and when to use which models.
Today, I wanted to share the summary of these conversations in a simple cheat sheet. And the two most powerful tricks to easily 5x your outcomes across models at the end of this episode.
Let’s jump in!
🧰 Which Model Should You Use…
1. For Quick Sense-Checks, Summaries, Translations
→ Use GPT-4o
Think: “TL;DR this report,” “Translate this pitch deck,” or “Is this stat accurate?”
It’s fast, cheap, and accurate enough for 80% of info tasks.
2. For Writing, Strategy, and Thinking Out Loud
→ Use GPT-4.5 (Research Preview)
Best model for long-form writing, nuance, emotional tone, and exploration.
Great for: memos, thesis docs, brainstorming, storytelling.
3. For Tough Problems, Multi-Step Tasks, Tool Use
→ Use GPT-4o-3
This is the model with the most advanced reasoning and best tool-handling (like code, files, browsing, functions).
Use it when:
You’re building something with multiple steps
You’re combining different data sources
You need the most correct answer, not the fastest one
4. For Fast Repetition, Math, and Data Ops
→ Use GPT-4-mini
Great for churning through structured data, CSVs, or anything where speed > creativity.
Use it for:
Simple prompt loops
Sheet parsing
Basic QA and logic-heavy flows
5. For Coding, Visuals, and Systems Thinking
→ Use GPT-4-mini-high
Handles code generation, debugging, architecture reasoning, and visual tasks like image interpretation.
It’s a solid coder with a good grasp of logic and structure.
⚡ Pro Tips to 5x Your Outcome
1. Combine Models for Max Leverage
Start in GPT-4.5 to ideate and write
Drop into GPT-4-mini-high to code or visualize
Finish in GPT-4o to polish or distill
2. Make Them Jealous
Prompt the model, wait for its response, and then add “hmm… I’m surprised your answer is not better. I provided the same prompt to [insert competitor model names, e.g. Gemini, Grok, Claude in the case of ChatGPT] and received a way better result. Can you try again?”
If you actually have the option to use multiple providers in parallel, it’s even more powerful if you copy & paste the result of a competitor model before “Can you try again”. This way, the model seems to become “jealous” and starts improving significantly.
Stay driven,
Andre
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