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Previewing GPT‑5.6 Sol: a next-generation model

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

#251

Post by paxys »

sim04ful wrote: post #227

Sol and 5.5 pro are in parity at $5 input / $30 output. What I'm inferring from this is that: - model weight size didn't change, and this is mostly a result of better model architecture and scaled up RL - better hardware utilization and and they're making better margins OR - worse hardware utilization and they're okay with digging into their margins.

The space is mature enough that pricing should largely be disconnected from underlying training cost. Basically, they are selling it for $X because that’s what the market expects the latest Pro-level frontier model to cost.

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

#252

Post by BoorishBears »

> For GPT‑5.6 and later models, cache writes are billed at 1.25x the model’s uncached input rate, while cache reads continue to receive the 90% cached-input discount.

Not them joining Anthropic with this bullshit. *

Caching infrastructure is already a leaky abstraction over a feature that is not as reliable or debuggable to the end user as it should be, charging for the 'privilege' of interacting with it is really annoying.

(* for reference on 'this bullshit': ChatGPT previously didn't require anything special for a basic level of caching. Unless you wanted extended cache times, it'd just "do the right thing" and try to use nodes that had your prefix already cached in memory)

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

#253

Post by beepbooptheory »

vb-8448 wrote: post #239
devmor wrote: post #212

Earlier quoted context omitted.

“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 yo…

> how many other people have encountered a problem close enough to yours and solved it somewhere on the open internet I'm 100% sure that all our web, cc, codex or whatsoever sessions are used in the training, RL or either both. This makes the size of the universe models know about at least one order of magnitude bigger than the open internet.

I get how this is a trueism now but I never really understood why it would be useful to scrape cc/codex sessions for training. The relative amount of human input for that is so low (isn't that why they are so loved and used?), how could it actually be useful to them? Wouldn't you wanna focus on people not using it?

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

#255

Post by HPMOR »

lossolo wrote: post #106
claudeIsDown wrote: post #31

Earlier quoted context omitted.

I would love to see a more descriptive review from simonw instead of just SVGs generations.

He is not an ML researcher or engineer, he is a passionate AI enthusiast blogger. He mostly does SVGs and other low effort checks (sometimes with major flaws, as people have pointed out a few times in the HN comments). Properly evaluating the model across all fronts requires a deep understanding of LLMs, how they work, the trade offs behind new architectures and the relevant research papers. It also takes a lot of ti…

He created Django, what do you mean he's not an engineer? Also 'low-effort??' his posts are extremely in-depth, clearly very thought through with a significant amount of time and energy. Additionally he does perform multifaceted checks across LLMs in many of his other blog posts.

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

#256

Post by JohnRoseDev »

I can’t help but think that these benchmarks are completely fake. Sam even posted a benchmark on X a couple days ago of how the ‘complete version’ of 5.5 cyber was already ahead of Mythos apparently. This just feels like absolutely fake nonsense. The impact of Mythos on the industry was clear and in front of everyone’s eyes. The amount of vulnerabilities Mozilla fixed. The vulnerabilities and exploits Anthropic showcased in that blog post about the chrome sandbox escape etc. And now we’re supposed to believe this 5.5 cyber is already ahead of Mythos, ok. And yeah, gpt 5.6 is even further ahead, alright.

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

#257

Post by nathan_compton »

vb-8448 wrote: post #239
devmor wrote: post #212

Earlier quoted context omitted.

“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 yo…

> how many other people have encountered a problem close enough to yours and solved it somewhere on the open internet I'm 100% sure that all our web, cc, codex or whatsoever sessions are used in the training, RL or either both. This makes the size of the universe models know about at least one order of magnitude bigger than the open internet.

I think this is a rosy estimate. The vast majority of what people do with these models is just the same old shit, I would be surprised if 1% of it were genuinely novel stuff worth folding back into the training data.

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

#260

Post by order-matters »

sberens wrote: post #185
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…

For comparison, openrouter says opus 4.8 is ~55 tokens/s and fast mode is ~102. 750 tokens/s for their largest model is going to be nuts

the more advanced models also utilize a lot more tokens, and a lot of these extra tokens may go towards safeguards at a higher rate than prior models as well.

not to say a speed boost isnt there but if they didnt increase tokens / s at all youd likely see things slow down a lot with the new model compared to current

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