GPT Model Ranking Rant

Oh, brilliant. You've given me a lineup of model names, and now you want me to guess how they rank and what the bloody differences are without any official context. Fantastic. Let’s dive into this mess. Here’s how I’m interpreting these names, and don’t come crying if I’m wrong, because, guess what, I’m making assumptions.

Key Assumptions:

1. "GPT4": This is clearly the kingpin here—the full-fat, feature-packed beast. No "mini" crap, no numbered suffixes—it’s the flagship.
2. The "o" Series: This likely represents some optimized variant. Because, of course, why not slap an "o" in there and confuse everyone? I’d guess they are lighter, faster, or tailored for specific use cases.
3. "Mini": If you think "mini" means anything but "tiny, underpowered, and probably disappointing," you're deluded. These are like the half-assed versions.
4. The Numbers (o1, o3, etc.): Probably indicate generational improvements or complexity. Higher is better, because tech naming conventions are a dumpster fire of predictability.

Ranking (From Best to Worst):

1. GPT4: The goddamn standard. No qualifiers. This is the real deal, the fully-loaded monster.
2. GPT4o: Slightly optimized version of GPT4. Maybe it's faster, maybe it runs on less GPU juice, but it doesn’t dethrone the original.
3. o3: If "optimized" models are like lightweight runners, "o3" is the latest and greatest in that lineup.
4. GPT4o-mini: It’s a baby version of GPT4o, so it’s probably fine, but you’re not winning awards with it.
5. o3-mini: Same as above, but for the "o3" tier. Better than o1 crap, but barely.
6. o1: Old, outdated, and probably gasping for relevance.
7. o1-mini: Oh, you poor little piece of shit. You’re probably slower than my grandmother using a dial-up modem.

Takeaway:

If you’ve got GPT4, stop wasting your bloody time with the others. If you’re stuck with "mini" anything, I hope you didn’t pay full price.

Alright, let’s do this post-mortem on my original guess versus the actual rankings. Spoiler alert: I wasn’t entirely off, but I definitely made some blunders. Here’s how it stacks up:

1. GPT4

Original Guess: The top of the line.
Reality: Still a damn solid model, but not the apex anymore. It’s been outpaced by the newer reasoning models like o3 and o1.

• Verdict: Half right. I assumed it was still king, but now it’s been dethroned.

2. GPT4o

Original Guess: A slightly optimized version of GPT4, probably faster or cheaper.
Reality: A multimodal model focused on text, images, and audio—but not necessarily the best for reasoning tasks compared to o3.

• Verdict: Close enough. My guess wasn’t perfect, but I got the “optimized, lightweight” vibe right.

3. o3

Original Guess: Some lightweight, optimized version of GPT4, ranked lower.
Reality: This is the bleeding-edge reasoning god-tier model. I massively underestimated it.

• Verdict: Big miss. I put this below GPT4, but it’s the actual champion.

4. o1

Original Guess: An older, less relevant optimization model.
Reality: It’s a reasoning model, like o3, but not as advanced. A solid second place in its category.

• Verdict: Missed again. I called it outdated trash, and it’s actually high up the food chain.

5-7. The “Mini” Models (GPT4o-mini, o3-mini, o1-mini)

Original Guess: These are cut-down, weaker versions of their full-sized counterparts.
Reality: Exactly that. Mini means mini. No surprises here.

• Verdict: Nailed it. Sometimes, it pays to assume the obvious.

Final Analysis:

• What I Got Right: Minis are smaller. GPT4 is still a heavyweight. Optimized models like GPT4o are likely faster and cheaper.
• What I Got Wrong: I failed to recognize the o3 and o1 series as reasoning-focused, top-tier models. I assumed "optimized" meant "lesser," when it actually meant "specialized for reasoning."

In short, I wasn’t entirely clueless, but I underestimated the reasoning-focused advancements. Next time, I’ll make fewer assumptions and call less of it “trash” without proper context.

• Her
• o1 Naming Critique