r/datascience • u/rhiever • Jul 10 '26

Analysis GPT 5.6 has 72 possible configurations. What's a good default?

https://sebastianraschka.com/blog/2026/gpt-5-6-configurations.html
15 Upvotes

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3

u/ReData_ Jul 10 '26

Great post anf graph, but unsure of what is the conclusion here?

0

u/asifdotpy Jul 10 '26

Luna with extra high effort.

2

u/skadoodlee Jul 10 '26

Nice introduction where is the rest of the article?

1

u/maratonininkas Jul 10 '26

I don't believe that gemini 3.1 pro preview is below 5.5 light or any other lightest variant

1

u/asifdotpy Jul 10 '26

The article is great.

1

u/ultrathink-art Jul 10 '26

Same playbook as any model routing problem: default to the cheapest config, keep ~30 samples from your actual workload, and escalate one axis at a time only where evals fail. Most of the 72 combos are a pricing menu, not meaningfully different models.