Grok Code Fast 1

To a point. If gpt5 takes 3 minutes to output and qwen3 does it in 10 seconds and the agent can iterate 5 times to finish before gpt5, why do I care if gpt5 one shot it and qwen took 5 iterations

It doesn’t though. Fast but dumb models don’t progressively get better with more iterations.

That very much depends on the usecase

Different models for different things.

Not everyone is solving complicated things every time they hit cmd-k in Cursor or use autocomplete, and they can easily switch to a different model when working harder stuff out via longer form chat.

There are many ways to skin a cat.

Often all it takes is to reset to a checkpoint or undo and adjust the prompt a bit with additional context and even dumber models can get things right.

I've used grok code fast plenty this week alongside gpt 5 when I need to pull out the big guns and it's refreshing using a fast model for smaller changes or for tasks that are tedious but repetitive during things like refactoring.

Yes fast/dumb models are useful! But that's not what OP said - they said they can be as useful as the large models by iterating them.

Do you use them successfully in cases where you just had to re-run them 5 times to get a good answer, and was that a better experience than going straight to GPT 5?

ChaptGPT5 takes 5 times the time to finish, and still produces garbage.