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  • The top comment on this thread was about AI models being easily distilled being a stroke of luck.

    This should not be surprising at all. Every new students spends tiny fractions of time learning knowledge that took many lifetimes to discover. This fundamental to the progress of intelligence and understanding.

    It should not be surprising that AI can be distilled. It's the logical method of training; I would hope that each frontier model is in fact not trained 'from scratch' each time.

    We should expect future frontier models are simply distilled versions trained by specialist models, the same way humans learn from a series of professors, papers and canonical books on each different subject material. Models like this can be trained incrementally, or a so called Mixture of Experts (MoE).

    by blobbers
  • This stacks with the 50% discount in OpenRouter, making it $2/$10. https://openrouter.ai/openai/gpt-5.6-sol
    by artrockalter
  • Once they make a model better than Fable I’ll be switching to Codex. Their priorities in terms of consumers seem to be better. I do think Anthropic has some solid safety viewpoints, but I don’t necessarily think that either is entirely aligned yet with delivering exactly what humanity needs. Maybe the AI will help align the AI companies when it gets smart enough. That’s the real misalignment I’m concerned about.
    by ninjahawk1
  • 50% off at open router is also still applied so it comes out at $2 / $10 per 1M.

    Feature request for Artificial Analysis, allow us to see these live prices on the pareto. It would amazing to also see what a 25,50,75,100 % utilised subscription costs compared to raw tokens.

    by AM1010101
  • These are my opinions on which circumstances Sol fails terribly vs Fable.

    I am the type of coder that vibe codes - I talk to the agent about a problem, have it write a plan, red team the plan, and then implement the plan. These projects are things which haven’t really been done before, or if they have it’s not public or not in many places.

    What I find is that Sol is hyper-left brained. Super focused on small details. When given a longer task with multiple steps it might go really hard on one of the early steps and it will validate, test, make safe, so much to the detriment of progressing the task within reasonable parameters for the project.

    It also starts to sound crazy when you ask it for an update. It starts naming things in weird ways and the sentences don’t really make sense. It’s as if you’ve approached an engineer who has been hammering on something and he speaks to you in the lingo of his latest function, even though when you ask him for a status you are obviously asking about the whole project.

    Fable on the other hand seems to remain coherent over time. It’s as if it remains aware of the longer run task. It’s got a bit more balance between left and right brain.

    So OpenAI really need to find a balance between long term goal thinking and the very small task at hand.

    For coders who apply Sol on specific functions or narrow tasks I’m a certain it is great. For me, a vibe coder, I need one that will be a bit more aware of the whole thing through these longer running tasks.

    by m101
  • Absolutely loving this price war, long live open source models.
    by sandle
  • It's a 20% discount on input and a 33% discount on output through at least November 21, 2026; the revised pricing schedule is now

        Model       Input  Cached input  Cache writes  Output
    gpt-5.6-sol $4.00  $0.40         $5.00         $20.00
    gpt-5.6-terra
                $2.00  $0.20         $2.50         $12.00
    gpt-5.6-luna
                $0.20  $0.02         $0.25         $1.20
    So Sol is still 20x Luna, but much more appealing when compared to offerings from Anthropic and others.
    by ComputerGuru
  • The fact that AI models can be so easily distilled and replicated is such a stroke of luck.

    10 or 15 years ago if one had asked me to envision a future where a private company invents artificial intelligence, I'd have thought for sure they'd have a massive moat, be very difficult to catch, and it would create an almost instant monopoly.

    Rather, it seems that selling intelligence might end up as a race to the bottom.

    Who woulda thought that just having access to enough textual inputs and outputs and a vaugely similar transformer architecture would be enough to copy-cat rather useful intelligence.

    by eigenspace

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