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  • Hacker News
  • Good. Maybe they can use GPT-6 to fix the accessibility of their iOS app. Output shows as text fields to VoiceOver, and the accessibility announcements have backslashes before seemingly every punctuation mark. And then bring accessibility announcements to the Android app so I don't have to make a whole new app just to add that through an accessibility service. Ugh the things I do for accessibility cause I'm blind. On a better note though, AI has done so much for the blind community, from image (and increasingly video) description to mods for video games like Final Fantasy 1 through 6 Pixel remaster, I have a ton to be grateful for.
  • Getting to the point where these headlines depress me. I just wish they would stop getting better. I don't know where my career is gonna be in a few years.
  • Have they solved GPT5.6 SOL's propensity to over-engineer and over-complicate? You'd ask SOL to do something relatively simple, and find four single-use methods, an interface, and a factory-factory.

    I actually preferred 5.6-Terra not because it is technically superior (it isn't) but because it had better instincts to NOT do this stuff.

    PS - Speaking of better instincts, have they closed the UI-design gap at all? I keep a Claude subscription just because /design produces significantly higher quality UI design/UI feedback/UI refinement than anything I've seen from OpenAI.

  • I don't see how anyone can be using Claude with prices like this, it's pretty incredible what the OpenAI team is doing, w.r.t model quality and pricing.

      Prices per 1M tokens     Claude Opus 5.5    Claude Opus 5
       Cache reads              $0.20              $0.50
       Input tokens             $4                 $5
       Output tokens            $20                $25
       Cache writes             $5                 $6.25
    
    
    
    Model

    Input

    Output

    Price reduction

    GPT‑6 Sol vs. GPT‑5.6 Sol

    $4 → $2

    $20 → $10

    50% cheaper

    GPT‑6 Luna vs. GPT‑5.6 Luna

    $0.20 → $0.10

    $1.20 → $0.50

    50% cheaper

  • From the perspective of “an average person”, ChatGPT is delivering fantastic products.

    - For general chat and web search, occasional image editing, small coding work, document review etc. ChatGPT Plus is basically limitless and “just works” since 5.6. I’ve yet to give it some task it cannot do.

    - When given sensible instructions, it hardly annoys with weird phrasing, glazing, or annoying constructs.

    - The apps are very good (ignoring the initially terrible Codex app)

    It’s easily my best spent $23 a month.

  • At this point, the deciding factors for me between Claude Code 20x and Codex Pro 20x are:

    1/ Usage limits: downstream of input/output cost, but resets and obscure windows and odd 20x plan / 5x plan != 4x usage math throw a wrench into it. Winner right now is Codex by a mile, especially when you factor in the fact that ChatGPT usage (even 6 Astra Pro) is essentially unmetered on the 20x plan. Always a bummer when asking if I should see a doctor about a rash means I can't code as much. It's also is a godsend if you use an MCP like oracle to automate the process of calling the Pro model on particularly tough problems, giving better planning results or deeper code analysis without burning usage.

    2/ Context window in the harness. Claude Code wins on this. There used to be a toml file workaround for Codex to extend the GPT context window to 1m, but this stopped working on the plans and only on per-token billing (ETA: noname120 pointed out this is no longer the case and it can be enabled again [1]). 252k is just not enough. Codex's compaction is very good, fwiw, but it happens so frequently that even a model as powerful as Astra sometimes loses the plot on long-running tasks.

    3/ Ability to use the plan outside of the official harness. Codex wins. Anthropic does shit like bills requests as extra usage if it sees a hermes.md in a commit.

    I've subscription hopped a bunch, and at times I've had both, but I keep coming back to Codex because it wins on 2/3.

    ETA: apparently I haven't been Keeping Up With the Altmans and new 20x signups have been disabled for a few weeks. I am grandfathered in, which makes the comparison above pretty much moot.

    [1]https://news.ycombinator.com/item?id=49806060

  • I've been working with agents all year, but 5.6 Sol was some sort of sweet spot for me. Something about how it communicated verbally and its engineering instincts just clicked for me, and I was able to somehow predict it and jam with it. Like a colleague you click with. It's the first model I've gotten attached to. I'm concerned that whatever model supercedes it, while technically better, just won't feel quite as natural to work with. And this makes me feel very professionally vulnerable to the labs. I miss the days when my crucial tooling came from companies as reliable and predictable as, say, Jetbrains.
  • GPT-6 Luna being half the price of GPT-5.6 Luna is a really big deal.

    Here's GPT-6 Luna pelicans: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

    And GPT-6 Sol: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

    Scroll to the bottom for the GPT-6 Sol max one: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

    For comparison, here are the pelicans I got for GPT-6 Astra: https://tools.simonwillison.net/markdown-svg-renderer?url=ht... - I still like the Astra Max one best.

    Here's a comparison grid showing all of the GPT-6 and GPT-5.6 pelicans at all effort levels: https://static.simonwillison.net/static/2026/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.

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GPT-6 Sol and Luna · Birbla