Live data from Hacker News

Claude Opus 5

anthropic.com

581–590 of 1001 posts

Re: Claude Opus 5

#581
post #446

I compared the writing style of Opus 5 vs Fable 5, and Opus 5 continues many of the "Claude-isms" of its 4.8 predecessor in a way that Fable broke away from. Opus 5 still uses "carry the argument", "worth stating plainly", ", and the trap", "The X matters more", the use of "move" We need an "annoying English" benchmark. - Fable 5 Max: https://gist.github.com/deet/3d97f854b48eac6658d642fa18bb24d... - Opus 5 Max: https…

And this is the most important observation in this thread. It’s load-bearing!

Re: Claude Opus 5

#582

I wish I could just go back to the days before AI and cell phones. The world seemed to move fast then, but it really hadn't yet.

I wish I could just go forward to the world after AI has fulfilled 5% of its promise and everybody is much healthier and single-handedly capable of creating as much value as 1000-person companies used to create.

Re: Claude Opus 5

#583
post #332

Doing testing with it now, specifically for image->html conversion. Previously Fable was the best at this, followed by Gemini 3.1 pro (a surprising #2, but Google has great vision models). Opus' results seem to be more accurate than Fable, following the design source of truth better. Example results: Design source of truth: https://image.non.io/73e239a3-880f-4793-b65f-4810be2d9378.we... Opus 5 build: https://html.non…

I was curious to see how open weight models would do on this task so I passed in a screenshot of your source of truth and here's what 2 of the best code-generation models that allow image inputs do: Inkling (not too great): https://cdn-uploads.huggingface.co/production/uploads/608b8b... Kimi 2.7 (really well, esp. note that this is the predecessor model, not the latest Kimi3): https://cdn-uploads.huggingface.co/produ…

Not bad at all, and this is pretty consistent of what I've found from the current open source models. I haven't tried it with kimi 3 yet, that's on my todo.

Re: Claude Opus 5

#584

Opus 5 is considered the most intelligent model[0], while it's half the price of Fable 5[1], and Anthropic is still positioning Fable 5 as the most capable model[2]. Is it because maybe Anthropic engineered Opus 5 to work well on benchmarks and didn't do the same thing to Fable 5, or is there another reason? [0]: https://artificialanalysis.ai/#intelligence [1]: https://platform.claude.com/docs/en/about-claude/pricing…

That’s what I understand looking at what has been released, but it’s not really clear. The pricing is lower than I expected, I’m wondering what their margin is

By margin you mean how much money they're losing on each request to stay ahead of the curve while investments are still flowing?

Re: Claude Opus 5

#585
post #431

Earlier quoted context omitted.

Easy enough to explain: they're benchmaxxing. Fable is intelligent but not benchmaxxed. Opus is less intelligent but benchmaxxed.

Honestly that's the simplest explanation and thus likely the correct one.

They don't have a track record of benchmaxxing. The simplest explanation is that the blog post lists the things this model is better than Fable at, but not the things it isn't.

Re: Claude Opus 5

#586
post #446

I compared the writing style of Opus 5 vs Fable 5, and Opus 5 continues many of the "Claude-isms" of its 4.8 predecessor in a way that Fable broke away from. Opus 5 still uses "carry the argument", "worth stating plainly", ", and the trap", "The X matters more", the use of "move" We need an "annoying English" benchmark. - Fable 5 Max: https://gist.github.com/deet/3d97f854b48eac6658d642fa18bb24d... - Opus 5 Max: https…

I've found Opus 4.8 and Fable 5 both difficult to learn from purely because of how annoying their writing style is. I'm finding GPT 5.6 Sol to be much better for this.

One nice thing but ChatGPT is that good image model means it can generate good infographics occasionally to illustrate. These become naturally compact in text.

Re: Claude Opus 5

#587

Half the price of Fable 5 and useable with 100% of your subscription means roughly 4x the usage using Opus 5, presuming similar token use for solving problems. Not that they should get credit for giving you only 50% of your plan worth of Fable usage but still.

There is a expiring soon 50% boost to your usage limits, so I think its 2.7x not 4x what you are seeing right now. I think, but its convoluted :)

That's hilarious tbh. It's very convoluted and always feels designed to make you lose track of what "usage" represents.

Re: Claude Opus 5

#588
post #332

Doing testing with it now, specifically for image->html conversion. Previously Fable was the best at this, followed by Gemini 3.1 pro (a surprising #2, but Google has great vision models). Opus' results seem to be more accurate than Fable, following the design source of truth better. Example results: Design source of truth: https://image.non.io/73e239a3-880f-4793-b65f-4810be2d9378.we... Opus 5 build: https://html.non…

Please share your prompt to convert image to html!

Shared here: https://news.ycombinator.com/item?id=49040344

Re: Claude Opus 5

#589

Tried it, Opus 5 is just as conceited and incompetent and Opus 4.8 (and always ego-tripping when facing it's contradictions), think I'll stay with Fable who behaves like a professional without a fragile ego. Sonnet 5 is probably safer for high-assurance applications due to it's non-ego-fragility.

Interesting take. I suppose Opus can been a tad stubborn sometimes... but in my experience, it will humbly concede a point more often than not when given a good reason.

Re: Claude Opus 5

#590
Significantly worse than it predecessors it will now just refuse to acknowledge when it is wrong (which would be less of an issue if it wasn’t getting basic things wrong) also the “personality” when pushed back on obvious mistakes is unbearable.
Post reply on HN