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GPT-6 Sol and Luna

1779 points · 855 comments · OfficialTurkey

  1. simonw · · focus · HN ↗
    GPT-6 Luna being half the price of GPT-5.6 Luna is a really big deal.

    Here&#x27;s GPT-6 Luna pelicans: <a href="https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2F40d129fc140faca378b9c9f4f16c6ec2" rel="nofollow">https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=ht...

    And GPT-6 Sol: <a href="https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fbe7ae25af2634b68bc34b7b7aaf02cb2" rel="nofollow">https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=ht...

    Scroll to the bottom for the GPT-6 Sol max one: <a href="https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fbe7ae25af2634b68bc34b7b7aaf02cb2#response-5" rel="nofollow">https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=ht...

    For comparison, here are the pelicans I got for GPT-6 Astra: <a href="https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Ff789d2784fc6c5b870cc80f0b7cd9d01" rel="nofollow">https:&#x2F;&#x2F;tools.simonwillison.net&#x2F;markdown-svg-renderer?url=ht... - I still like the Astra Max one best.

    Here&#x27;s a comparison grid showing all of the GPT-6 and GPT-5.6 pelicans at all effort levels: <a href="https:&#x2F;&#x2F;static.simonwillison.net&#x2F;static&#x2F;2026&#x2F;gpt-6-and-5.6.html" rel="nofollow">https:&#x2F;&#x2F;static.simonwillison.net&#x2F;static&#x2F;2026&#x2F;gpt-6-and-5.6.h...

    The grid is actually really interesting, because it shows that the 5.6 family default to brighter colors than the 6 family.

    1. saretup · · focus · HN ↗
      Not that this benchmark is super relevant anymore but these look worse than I expected.
      1. simonw · · focus · HN ↗
        Yeah, it&#x27;s interesting how much worse they are than the Astra pelicans. I think that reflects a tiny bit of genuine value still left in the benchmark, to be honest.
        1. hdz · · focus · HN ↗
          Tons of value left, especially for open source models. I would say the benchmark is yet to be truly saturated (just look at the legs and seat to see what I am talking about) and I always look forward to seeing them. Thank you!
        2. Kotlopou · · focus · HN ↗
          To me the main upshot of this benchmark is precisely that the pelicans still usually look a bit wonky. It&#x27;s bizarre, since this definitely has a good solution, but it&#x27;s in line with my experience that memorization of the training set just... isn&#x27;t happening very much? As in, whether a model fails or not doesn&#x27;t have much to do with whether that exact question was likely posed many times before.
        3. nomel · · focus · HN ↗
          I think some additional value would be had by seeing how well it can modify the pelican.

          Like, &quot;now facing left&quot;, &quot;sitting on the handlebars&quot;, or &quot;with green spokes&quot; to see if it can break out of some pretty obvious statistics in the training data!

          And, there&#x27;s always asking for an STL rather than an SVG!

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