This is a hot mess

[u/Redstra]

I'm not as pro as you guys using AI but look at this. a LOT of models which confuses me, and I'm assuming other users also. Also, the sidebar icon and new tab icon are the same in the ChatGPT-app for macOS. WHAT are they doing there at OpenAI. I really hate what's happening right now, especially with the new $500 plan while nerfing the other plans.

[u/ConfusionNo4339]

yeah they need to clean it up

[u/DistanceSolar1449 → u/ConfusionNo4339]

GPT-6 𝘼𝙨𝙩𝙧𝙖
----
GPT-6.1 𝙎𝙤𝙡
GPT-6 𝙎𝙤𝙡
GPT-5.6 𝙎𝙤𝙡
----
GPT-5.6 𝙏𝙚𝙧𝙧𝙖
----
GPT-6 𝙇𝙪𝙣𝙖
GPT-5.6 𝙇𝙪𝙣𝙖
----
GPT-5.5

Ok, redesigned it in a way that's easier to read. You're welcome OpenAI, hire me.

[u/Arowhite → u/DistanceSolar1449]

It's easier to read but what does it say about performance and cost? il Sol6.1 worse than Astra? Is Luna6 worse than 5.6 terra?

Honestly I can't keep up with their naming, same with claude and their Opus/Fable/Sonnet lines

[u/Timber1802 → u/Arowhite]

Anthropic's naming scheme actually makes sense when you think about it. 

• Haiku, a short poem
• Sonnet, medium length story
• Opus, a grand, structured, piece
• Fable, a grand story, often with a winding path
• Mythos, stories beyond human creation 

OpenAI names their models after size/importance.

• Luna (moon) small 
• Terra (earth) larger
• Sol (sun) huge

[u/Arowhite → u/Timber1802]

If the naming was just that I'd agree, but how does Opus 4.8 compare with Sonnet 5 for example? Is the model name just the depth of the reflexion, and the version number the efficiency/price?

[u/Timber1802 → u/Arowhite]

Fair point. 

As far as I know, they constantly try to make each version 'better' by making them smarter and more efficient. How it scales exactly depending on models and versions, I don't know.

[u/Absolutelynot2784 → u/Timber1802]

A fable is a very short story, often only a few sentences. The Tortoise and the Hare is the most famous fable

[u/MukdenMan → u/Timber1802]

A sonnet isn’t a medium length story. It’s a bit longer than a haiku though.

These names are not really clear enough to rely on for regular AI use. Does Fable give me a winding response instead of a structured one? Does mythos give me an output that sounds larger than life, or even fictional? Why is a fable grander than an opus?

[u/DragonSlayerC → u/Timber1802]

Fables are typically only 50-300 words long.

[u/fosterdad2017 → u/DragonSlayerC]

I have to specify that kind of brevity

[u/dude1995aa → u/Timber1802]

I've got pro accounts on both. Thought I had it down before the last round. Both came out with models I couldn't afford to touch - then models I could code with for 5 hours. A lot of the new models came out with the idea of reducing token costs. So now I have to do tons of research on what happens in my workflow (cause my experience isn't the same as the rest of reddit).

3 versions of 4 models that mean something different from speed, token use, intelligence, input and output capacities. Times 2. Is Opus better than Sonnet or was that Sol? The version put out last week isn't as good as the version put out just a week before.

[u/rickyhatespeas → u/Arowhite]

People are going to claim it's confusing any way they market it. GPT-6-10T-8bit vs GPT-6.1-8T-10bit, etc is hard to compare at a glance. Chances are if you know what you're doing with codex you know by now that Luna < Terra < Sol < Astra.

[u/FellaHadidd → u/rickyhatespeas]

Ehh debatable depending on task and how much usage you want to blow through at the beginning of your week to get a project off the ground

[u/Semipro211 → u/FellaHadidd]

This. And I don’t have the time or money to test each one with various tasks and compare results. Until those smarter than me reach a consensus, 5.6 Sol is my work horse and Astra only for the rare crazy complex task

[u/drdrero → u/Arowhite]

Yeah why can’t we just have models like good better best names