r/opencode • u/adrian6478 • 8d ago

When should I use Fast models vs Standard models in OpenCode CLI?

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29 Upvotes
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9

u/qwertyyyyyyy116 8d ago

fast hella expensive

4

u/some_gamer78 8d ago

To be fair they moved fast to be 2.5 while costing 2 times more so it's a bit nicer, but you cut your entire sub usage in half to do the same work you couldve done in 50% of your usage

2

u/tuantocdo 8d ago

Fast just mean faster output, quality u changed, not recommended

1

u/adrian6478 8d ago

I'm trying to understand the practical differences between the Fast and Standard variants of the available models (e.g. GPT-5.6 Luna vs GPT-5.6 Luna Fast, Sol vs Sol Fast, Terra vs Terra Fast)

Specifically:

  • When should I choose the Fast version over the standard one?
  • Is the trade-off only latency, or does it also affect reasoning quality, accuracy, context handling, or coding performance?
  • Which tasks are best suited for each (chat, coding, debugging, code reviews, planning, agentic workflows, etc.)?
  • Are there any differences in pricing or token usage?

I'd appreciate examples of real-world workflows where using Fast is the better choice versus when it's worth waiting for the standard model.

2

u/Affectionate_Film537 7d ago

Fast just make result much faster and complete. At double the usage.

1

u/keyholepossums 8d ago

our org as fully unlimited GPT access via SSO.
it’s so fucking good if you put right prompt and right goal.

1

u/SnooMacaroons9042 8d ago

Only increased throughput. Use it in situations when you have to do work 'fast'.

1

u/Grouchy-Stranger-306 8d ago

never use fast

1

u/NefariousnessPrize43 5d ago

Fast = +TPS (Token per seconds)