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  • Hacker News
  • Unsurprisingly, the pelicans are excellent. Google are the only lab who have publicly shared that they have specifically trained for SVG output - https://twitter.com/sunjiao123sun_/status/202455551655137292... - and they've had great pelican results in the past too (which they have shown off themselves - https://twitter.com/JeffDean/status/2024525132266688757).

    Here's low, medium, high. Even low is better than pelicans from any other lab: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

    low cost 10.185 cents, medium was 11.098 cents, high was 17.166 cents.

    The costs are similar because it used more output tokens than reasoning tokens for all three pelicans, even for high.

    by simonw
  • Image->html test for Argon. I'd put it at B tier, just under gpt 6.1 sol. It isn't A tier like Opus 5.5 or Astra.

    Argon build: https://html.non.io/lcars-argon/

    GPT 6.1 sol: https://html.non.io/lcars-gpt-6.1-sol/

    Opus 5.5 (currently SOTA for this): https://html.non.io/lcars-opus-5.5/

    Original designs: https://diffui.ai/app/canvas/5093e689-1e74-4f26-b632-2a4500f...

    by jjcm
  • People should appreciate Google more for how all of their models have:

    - Natively multi-modality

    - Enormous context windows

    - Reliably cheap prices

    It's like they don't release a model until it passes the above checklist.

    Most providers have some mixture of these three occasionally, but with Google, every model is consistent. This kind of consistency is really nice to have.

    by manlymuppet
  • Gemini 4 Argon is a new leader in Pareto-frontier. Looks like, Google is back in the race.

    https://arena.ai/leaderboard/agent/chat/pareto

    For almost same intelligence (+15.56%, +15.18%), drastic difference in cost/task ($3.51 vs $0.41)

    by mridulmalpani
  • > The model launches today at an introductory price of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).

    Couldn't you just say what the price will be after the introductory period and when it'll take effect? Do they have some SKILL.md for these blog posts that requires the most important information to always be buried ten levels deep and hidden behind a login page?

    by damsta
  • I just created a Google account, which was a hassle. I tried to find an app and found AI Studio, but I’m not sure what that is. Then I found Antigravity, which apparently is Google’s alternative to Codex, and I installed it. Then I tried to buy the small Gemini AI Ultra package, but it didn’t let me pay. It accepted neither my credit card nor my PayPal account. It’s crazy how bad the Google experience is nowadays. You don’t know what to use or where to find it, and the security measures seem totally overkill. Am I really the only one having these experiences? Is Google aware of that?
    by I_am_tiberius
  • I'm using this model via API. I am most excited about its ability to write the english language (or any language). My least favorite trend on twitter has been people posting 2D illustrations/3D renders as a proxy for model capability. Well-written prose is far less likely to go viral but far outstrips the importance rendering a fantasy world in one shot.

    I've been trying it out via the API and the model has been a delight so far. Clear in the head, not RL-fried, distinct writing style, and big model smell. That said, the em-dash is back w/ this model.

    That said, I would be so frustrated with Sundar Pichai if I was on the Google team. The botched rollout of this model seems to be entirely a matter of capacity, and Pichai has been more than happy to give it to anybody but his own team.

    by postalcoder
  • I haven't tried it for coding yet, but I ran a couple of my recent curiosity driven queries from Claude (mostly used Fable and Opus 5.5) through it.

    This is a clear step change, I'm genuinely amazed.

    Its answers are to-the-point, logically structured, clearly written. Like a really well made mini essay on your question.

    It also really likes to build little simulations / models that you can tweak the parameters on. Amazing to explore how different assumptions affect economic scenarios, for example.

    It's also great at picking (sourced) illustrations.

    I'll be using this for everything that isn't coding from now on.

    by svara

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