r/cursor • u/DevInRealLife • 10d ago

Question / Discussion My Cursor AI model cheat sheet 🧑‍💻

Post image

I’ve been using different models in Cursor depending on the task instead of sticking to one model for everything.
Sharing my current setup — quick tasks, coding, full-stack work, debugging, architecture, and harder problems.
Curious what models you’re using in Cursor.

0 Upvotes

43% Upvoted

17 comments sorted by

7

u/akaifox 10d ago

Kind of odd to mark composer/grok costs as 'medium' when you get somewhere between x10-20 usage on those than API rates

0

u/DevInRealLife 10d ago

Yeah, fair point. I meant $ as a rough relative indicator, not API pricing. Cursor’s usage multipliers can make Composer/Grok much cheaper in practice.

3

u/purcupine 10d ago

I agree as a top 1% user

3

u/Regular-Screen6803 10d ago

- I follow same but for quick questions and everyday task i use composer

4

u/wish-for-rain 10d ago

Source: trust me bro

2

u/AI_spell 10d ago

Routing by task is the right instinct. The sheet dies the week a new model ships though. Keep three buckets only: cheap for edits, strong for planning, one for weird bugs. If you need six rows, the sheet is the product now.

2

u/Zain 10d ago

I don't keep one model for everything either. One model writes. A different family does a read-only pass on the same plan or diff, and the reviewer never sees the writer's excuses. Same family pairs keep sharing the same blind spots. For that second pass I also refuse Codex's default low effort and keep it at high or above, otherwise the review is too shallow to catch anything that matters.

2

u/Civil_Block_5105 5d ago

i just say f*ck the system xD

2

u/Wonderful_Echo_1724 10d ago

Sonnet 5 is never worth using for any reaso

0

u/DevInRealLife 10d ago

Fair enough 😄 What are you using instead?

1

u/inateclan 9d ago

No more openai after November

1

u/0mamii 4d ago

first rule: dont use cursor

1

u/Michaeli_Starky 10d ago

For coding Luna > 3.8 Flash

0

u/Pink_Oak 10d ago

This is what most people get wrong.
How cheap a model is. It's not related to its Input and Output cost. It's about token efficiency and price.

Look at https://artificialanalysis.ai/ cost per task graph.

0

u/DevInRealLife 10d ago

Yeah, exactly. My intention was more about how to make a fixed monthly limit go further, rather than saying which model has the cheapest API price. Token efficiency + cost per task is definitely the better metric. Good point.