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OpenAI O3-Mini

openai.com

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Re: OpenAI O3-Mini

#32
post #26
post #3

So far, it seems like this is the hierarchy o1 > GPT-4o > o3-mini > o1-mini > GPT-4o-mini o3 mini system card: https://cdn.openai.com/o3-mini-system-card.pdf

If this is the hierarchy, why does 4o score so much higher than o1 on LLM Arena? Worrisome for OpenAI that Gemini's mini/flash reasoning model outscores both o1 and 4o handily.

Is it possible people are voting for speed of responsiveness too?

Re: OpenAI O3-Mini

#34
post #3

So far, it seems like this is the hierarchy o1 > GPT-4o > o3-mini > o1-mini > GPT-4o-mini o3 mini system card: https://cdn.openai.com/o3-mini-system-card.pdf

I really wish they would open up the reasoning effort toggle on o1 API. o1 Pro Mode is still the best overall model I have used for many complex tasks.

Re: OpenAI O3-Mini

#35
post #23

why should anyone use this when deepseek is free/cheaper? openai is no longer relevant.

I don't think OpenAI is training on your data. At least they say they don't, and I believe that. I wouldn't be surprised if the NSA or something has access to data if they request it or something though.

But DeepSeek clearly states in their terms of service that they can train on your API data or use it for other purposes. Which one might assume their government can access as well.

We need direct eval comparisons between o3-mini and DeepSeek.. Or, well they are numbers so we can look them up on leaderboards.

Re: OpenAI O3-Mini

#36
post #12
post #3

So far, it seems like this is the hierarchy o1 > GPT-4o > o3-mini > o1-mini > GPT-4o-mini o3 mini system card: https://cdn.openai.com/o3-mini-system-card.pdf

I think OpenAI really needs to rethink its product naming, especially now that they have a portfolio where there's no such clear hierarchy, but they have a place along different axis (speed, cost, reasoning, capabilities, etc). Your summary attempt e.g. also misses o3-mini vs o3-mini-high. Lots of trade-ofs.

Yeah I tried my best :(

I think they could've borrowed a page out of Apple's book, even mountain names would be better. Plus Sonoma, Ventura, and Yosemite are cool names.

Re: OpenAI O3-Mini

#37
post #12
post #3

So far, it seems like this is the hierarchy o1 > GPT-4o > o3-mini > o1-mini > GPT-4o-mini o3 mini system card: https://cdn.openai.com/o3-mini-system-card.pdf

I think OpenAI really needs to rethink its product naming, especially now that they have a portfolio where there's no such clear hierarchy, but they have a place along different axis (speed, cost, reasoning, capabilities, etc). Your summary attempt e.g. also misses o3-mini vs o3-mini-high. Lots of trade-ofs.

They're strongly tied to Microsoft, so confusing branding is to be expected.

Re: OpenAI O3-Mini

#38
BTW if you want to stay up to date with these kinds of updates from OpenAI you can follow them here: https://www.getchangelog.com/?service=openai.com

It uses GPT-4o mini to extract updates from the website using scrapegraphai so this is kinda meta :). Maybe I'll switch to o3 mini depending on cost. It's reasoning abilities, with a lower cost than o1, could be quite powerful for web scraping.

Re: OpenAI O3-Mini

#39
> While OpenAI o1 remains our broader general knowledge reasoning model, OpenAI o3-mini provides a specialized alternative for technical domains requiring precision and speed.

I feel like this naming scheme is growing a little tired. o1 is for general knowledge reasoning, o3-mini replaces o1-mini but might be more specialized than o1 for certain technical domains...the "o" in "4o" is for "omni" (referring to its multimodality) but the reasoning models start with "o" ...but they can't use "o2" for trademark reasons so they skip straight to "o3" ...the word salad is getting really hard to follow!

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