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Previewing GPT‑5.6 Sol: a next-generation model

openai.com

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Re: Previewing GPT‑5.6 Sol: a next-generation model

#211

Post by HyperL0gi »

tosh wrote: post #95
HyperL0gi wrote: post #29

Here is a trend I'm noticing: - GPT-5 mini costs $0.25/$2 and will be discontinued in December. - GPT-5.4 mini costs $0.75/$4.5 and is supposed to be the replacement. - GPT-5.4 nano costs $0.2/$1.25 and, while it ranks better in benchmarks than GPT-5 mini, it's not even close when you test it in real scenarios. So you're left being forced to go to GPT 5.4 mini if you use 5 mini today. The same thing is happening here…

discontinuing the cheaper options is a risky move for openai will trigger re-evaluations of models by other labs + inference providers

I can speak for myself. We are exactly at this moment trying to replace GPT 5 mini with an open weight / open source model. No luck so far.

Re: Previewing GPT‑5.6 Sol: a next-generation model

#212

Post by devmor »

tontinton wrote: post #186
gandreani wrote: post #177

Easily the most interesting part of this announcement is buried in the second to last paragraph: "We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity." 750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new vers…

Yep this is a glimpse into the future of 500+ t/s, which is in my opinion the next big thing that validates Jevon's paradox (the models are already smart enough)

“Smart enough” really depends on how many other people have encountered a problem close enough to yours and solved it somewhere on the open internet, IMO.

Most of the frontier models can, when prompted and tooled correctly, do a lot of “reasoning” tasks that amount to resolving how the user has explained a particular widely known paradigm.

The more difficult and obscure the issues you provide them with, the faster you notice them reward hacking by altering the criteria until they are no longer attempting to solve the problem. Using “advisor” style loops helps hold this off at the cost of tokens, but there is still a fairly short limit at which they will essentially give up if they can’t find all of the necessary information - sometimes the issue is actually worse if they find a small amount of information instead of nothing - they’ll extrapolate from that tiny piece of data and generate plausible-sounding hallucinations almost every time.

And god forbid your problem involves doing something a different way than the majority of people do it. Unless you can write a full spec on it, the models will repeatedly spiral back into adjusting everything about your problem until it matches one of the most popular approaches in their training data.

Re: Previewing GPT‑5.6 Sol: a next-generation model

#213

Post by andriy_koval »

artursapek wrote: post #163
HarHarVeryFunny wrote: post #149

Earlier quoted context omitted.

I'm suspect on how much of a coding advance it will be. Seems odd that their announcement has zero coding benchmarks, with the closest related thing being terminal bench.

They claim extreme performance on ExploitBench, which Mythos was touted as being incredible at. https://x.com/OpenAI/status/2070555278576439306

On graph, they are still slightly bellow Mythos. Maybe enough to not be prohibited by US government?

Re: Previewing GPT‑5.6 Sol: a next-generation model

#214

Post by Maxatar »

johnnyApplePRNG wrote: post #139

Doesn't it strike anyone as strange that SOL, TERRA, and LUNA are all quasi-scam crypto tickers?

There's also Fable coin, Mythos coin, and Opus coin all of which predate the Claude models.

Heck there's Fart coin, Harambe coin, Dog Wif Hat coin, you name it coin...

Re: Previewing GPT‑5.6 Sol: a next-generation model

#215

Post by te_chris »

derwiki wrote: post #140
mohsen1 wrote: post #67

> Additionally, we’re introducing a new `ultra` mode that goes beyond the capabilities of a single agent by leveraging subagents to accelerate complex work. I'm curious about how does this work? Do the subagents also get to use the same tools? Will the client be flooded with tool calls? Why extra pricing for a new "model" when the same thing can happen in the client with more controls? And if it's an army of subagent…

Don’t all the major harnesses (pi, Claude code, codex) utilize sub agents? Def if you direct it to, but I’ve seen at least pi spin them up without explicit instruction.

With pi they’re an extension, but that’s pi

Re: Previewing GPT‑5.6 Sol: a next-generation model

#216

Post by paxys »

tontinton wrote: post #186
gandreani wrote: post #177

Easily the most interesting part of this announcement is buried in the second to last paragraph: "We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity." 750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new vers…

Yep this is a glimpse into the future of 500+ t/s, which is in my opinion the next big thing that validates Jevon's paradox (the models are already smart enough)

Faster tokens = more reasoning loops, so it can actually make the models smarter as well.

Re: Previewing GPT‑5.6 Sol: a next-generation model

#218

Post by paxys »

helloplanets wrote: post #184
gandreani wrote: post #177

Easily the most interesting part of this announcement is buried in the second to last paragraph: "We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity." 750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new vers…

OpenAI also announced two days ago that they're starting to make Cerebras style chips themselves [0], will be interesting to see how fast SotA model inference will be by the end of the year. [0]: https://openai.com/index/openai-broadcom-jalapeno-inference-...

Even if their chip is a difference maker, end of the year is wayy too optimistic. It’ll at minimum be a multi-year effort to bring it to production at scale.

Re: Previewing GPT‑5.6 Sol: a next-generation model

#220

Post by cruffle_duffle »

gandreani wrote: post #177

Easily the most interesting part of this announcement is buried in the second to last paragraph: "We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity." 750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new vers…

"we can start getting these answers back faster, they end up being more useful."

Dude, 10x token speed is going to be absolutely nuts. Half the "parallel subagent workflow" business seems to be driven simply as a means to avoid tapping your thumbs waiting for the infernal robot to finish something. If things come back speedy quick all the time, it should keep up with the "speed of the human" and let me stay focused on one thread instead of half a dozen. Plus the cost of screwing up gets significantly lower because you just re-fire with an adjusted prompt and iterate.

Someday these things will be 100x as fast as they are today and that is when things will get insane.

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