Discussion summary

GPT-5.6 Sol Ultra is a new model announced by OpenAI, part of the Codex series, with mixed reactions to its naming conventions.

What the discussion says

  • Some users criticize the naming scheme as confusing or meaningless.
  • Others see the release as a potential gamechanger for AI coding tools.
  • There is a general interest in how these models compare to competitors like Anthropic.
“And this is a level beyond Sol, I call it Super Sol 2.”
— protocolture
“It's a proper noun: the name given to their latest and greatest model.”
— chkmr

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  • Hacker News
  • Has anyone already tried 5.6 Sol in their day to day coding/development activities?

    How does it compare to GPT-5.5?

  • I still don't know why OpenAI doesn't put gpt-5.5-pro in Codex. It's one hell of a model and easily parallels Fable/Mythos. Sure, it'll use up your quota much faster but that's the price some users are willing to pay for absolutely high quality responses.

    I think gpt-5.5-pro runs 12x parallel gpt-5.5 agents behind the scene and uses OpenAI's secret sauce to synthesize their answers into one insanely good response.

  • Recently, I've been so eager to get new model releases in Codex. I'm hooked. I hope this accelerates development. Shows how dependant I have become to Codex.
  • Hope this forces Anthropic to be less stingy with Fable.
  • For context:

    > Additionally, we’re introducing a new ultra mode that goes beyond the capabilities of a single agent by leveraging subagents to accelerate complex work.

    https://openai.com/index/previewing-gpt-5-6-sol/

    Can someone explain how this compares with Pro? I thought Pro was already something similar.

  • I wonder if it's related that that OpenAI has found a way to cut inference costs by half, according to The Information.

    https://www.theinformation.com/newsletters/ai-agenda/openai-...

  • there seems to be very big misunderstanding about what the "ultra" is, so let me explain it basing on the codex source code:

    it's similar to Claude code ultracode.

    there is no ultra effort level implemented on the backend. it's just alias in the codex to max effort setting and single line addition to prompt to use subagents proactively. that's all

    as far as we know pro models work differently. for once those are backend implementations and they probably run multiple parallel reasonings for any chunk and use some judgement model to pick best version as persistent one. but that's what I believe is most popular guess, because this is openai secret sauce.

    there is still no way to use pro models from codex, or at leat so far there is no trace of it anywhere.

  • I'm working in large US corporation. And I see that I already have access to 5.6-Sol Ultra on my corporate account.

    I haven't really used it yet.

    2 months ago management was showing us scoreboards, praising leaders who used most tokens. Last few weeks, we're getting weekly emails, telling us that whenever we can - we should use cheaper models, and that we should watch the page which shows our tokens usage.

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