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Degraded performance for multiple models

status.claude.com

51–60 of 149 posts

Re: Degraded performance for multiple models

#53

Anthropic had really screwed up after 4.6. i don't know if they work to satisfy their ego or for releasing a better model for tasks.

Just recently went back to ChatGPT after abandoning it for Claude. I must say I was stunned at how good it had become and also how they introduced new product features that I really liked.

I wonder if from now on we have to switch providers every six months or so.

Re: Degraded performance for multiple models

#55
While ancedata does not mean much, I have had horrible success with Claude lately. I have been using Claude to crosscheck some of the outputs from GPT and vice versa. It appears both Claude and GPT believe GPT's solutions are better (and so I do).

I still believe Claude has a better UI/UX in the web interface, but tolerating Anthropic's bullshit is not worth it.

Re: Degraded performance for multiple models

#56
post #53

Anthropic had really screwed up after 4.6. i don't know if they work to satisfy their ego or for releasing a better model for tasks.

Just recently went back to ChatGPT after abandoning it for Claude. I must say I was stunned at how good it had become and also how they introduced new product features that I really liked. I wonder if from now on we have to switch providers every six months or so.

Every 3 months*

Re: Degraded performance for multiple models

#58
To be honest, running Deepseek v4 flash 0731 is enough for most what I need, and I like its responses way more. It's crazy that I can run this in a Q8 quantization in a home setup. It feels and performs like a frontier model.

The only issue with relying on local models is when you need them to prompt other models, and you might need to offload or switch models constantly which adds significant overhead.

But when it all works, its truly awe inspiring.

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