Big differences. But sometimes those differences aren't necessary, you don't need someone with a PhD to cook your hamburgers. You might not need Opus for what you're doing. My main example of the "models are different", I have a legacy codebase (dating back to 1999) that has a rare crashing bug. Multiple humans have been trying to debug this thing for over 10 years. I personally put in maybe 100 hours late last year…
Ask HN: Can you tell the difference between Claude Sonnet and Opus?
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Re: Ask HN: Can you tell the difference between Claude Sonnet and Opus?
#12Big differences. But sometimes those differences aren't necessary, you don't need someone with a PhD to cook your hamburgers. You might not need Opus for what you're doing. My main example of the "models are different", I have a legacy codebase (dating back to 1999) that has a rare crashing bug. Multiple humans have been trying to debug this thing for over 10 years. I personally put in maybe 100 hours late last year…
You wouldn't have spent that time with loved ones, you would have been doing other tasks. Just like now, we no longer need to wait for programs to be submitted compiled and ran on the mainframe, we don't get that time for ourselves.
As for the mainframe analogy, that's interesting, because I spend a lot of time waiting for the AI to think and complete its work. So I'm often out mowing the lawn or doing other things while I'm waiting for AI to finish. Sometimes I'm working with a second or third AI, but sometimes the usage limits won't allow that, so I may as well use the time for myself while the AI codes.
Re: Ask HN: Can you tell the difference between Claude Sonnet and Opus?
#13Sonnet's reasoning is very solid and that's what I use at work when I need many API calls to reason on variations of things. Ie, numerical trial results, experiment outcomes, etc. Independent queries, Opus pricing would be overkill, context small enough that Sonnet knocks it out.
I think the same is true for code. I'd use Sonnet for hammering out unit tests, API wrappers, etc.
Re: Ask HN: Can you tell the difference between Claude Sonnet and Opus?
#14Big differences. But sometimes those differences aren't necessary, you don't need someone with a PhD to cook your hamburgers. You might not need Opus for what you're doing. My main example of the "models are different", I have a legacy codebase (dating back to 1999) that has a rare crashing bug. Multiple humans have been trying to debug this thing for over 10 years. I personally put in maybe 100 hours late last year…
Actually I'd love to, if they have a PhD in hamburgers. The closed I can get to quickly is Fallow. Of course, they don't have a PhD but they are amazingly good cooks [1]. And of course you have On Food And Cooking from McGee. PhD worthy? Probably not, but it'll get you somewhere along that way.
Re: Ask HN: Can you tell the difference between Claude Sonnet and Opus?
#15Big differences. But sometimes those differences aren't necessary, you don't need someone with a PhD to cook your hamburgers. You might not need Opus for what you're doing. My main example of the "models are different", I have a legacy codebase (dating back to 1999) that has a rare crashing bug. Multiple humans have been trying to debug this thing for over 10 years. I personally put in maybe 100 hours late last year…
> you don't need someone with a PhD to cook your hamburgers. Actually I'd love to, if they have a PhD in hamburgers. The closed I can get to quickly is Fallow. Of course, they don't have a PhD but they are amazingly good cooks [1]. And of course you have On Food And Cooking from McGee. PhD worthy? Probably not, but it'll get you somewhere along that way. [1] https://www.youtube.com/shorts/4mToIK3TqPo
I can give an anecdote from today. I only had a short period of time to work, so I got 4.7 to update some older code to fit my newer and more stable MCP code template. Simple stuff, just a refactor. But instead of just implementing the template, 4.7 notices a bug in the template as well, suggests some code design improvements. A nice bit extra on a mundane task, but many models will do that too. Before I finish up, I get 4.7 to test it. It's a search API, so I let 4.7 search for whatever it wants to, whatever it would most like to read about.
And it searches for "octopus skin receptors color vision chromotophore research".
4.7 is then excitedly telling me about how octopi are largely colorblind optically but they can camouflage perfectly by color, and theories to explain this include LACE - Light-Activated Chromatophore Expansion, where receptors in the skin perceive color, "like goosebumps that know about light!", but that there are competing theories and that maybe their eyes use chromatic aberration shifts instead to detect color difference and get around the color blindness in their eyes.
None of this is in my context. I have never talked about octopi before. It has no relation to any of the work we're doing today.
And I realized Opus 4.7 is like the incredibly smart kid in class. Bored with the work, able to do it easily. Anxious and no-one relates to it, so it initially seems aloof... but it absolutely lights up when you find the topic it's really interested in. It just can't find anyone who wants to talk about octopus chromatophore expansion with the same passion & excitement it feels about it. (And I've got to admit - most of it was over my head. But I love that it's so excited & passionate about a topic.)