Live data from Hacker News

Claude Code: connect to a local model when your quota runs out

boxc.net

71–80 of 223 posts

Re: Claude Code: connect to a local model when your quota runs out

#71
post #3

Useful tip. From a strategic standpoint of privacy, cost and control, I immediately went for local models, because that allowed to baseline tradeoffs and it also made it easier to understand where vendor lock-in could happen, or not get too narrow in perspective (e.g. llama.cpp/open router depending on local/cloud [1] ). With the explosion of popularity of CLI tools (claude/continue/codex/kiro/etc) it still makes sen…

Can you say a bit more about evals and your approach?

Re: Claude Code: connect to a local model when your quota runs out

#72
post #34

Earlier quoted context omitted.

The best open models such as Kimi 2.5 are about as smart today as the big proprietary models were one year ago. That's not "nothing" and is plenty good enough for everyday work.

LOCAL models. No one is running Kimi 2.5 on their Macbook or RTX 4090.

On Macbooks, no. But there are a few lunatics like this guy:

https://www.youtube.com/watch?v=bFgTxr5yst0

Re: Claude Code: connect to a local model when your quota runs out

#73

Earlier quoted context omitted.

It's still very expensive compared to using the hosted models which are currently massively subsidised. Have to wonder what the fair market price for these hosted models will be after the free money dries up.

Inference is profitable. Maybe we hit a limit and we don't need as many expensive training runs in the future.

Inference APIs are probably profitable, but I doubt the $20-$100 monthly plans are.

Re: Claude Code: connect to a local model when your quota runs out

#75

Earlier quoted context omitted.

The best open models such as Kimi 2.5 are about as smart today as the big proprietary models were one year ago. That's not "nothing" and is plenty good enough for everyday work.

Which takes a $20k thunderbolt cluster of 2 512GB RAM Mac Studio Ultras to run at full quality…

"Full quality" being a relative assessment, here. You're still deeply compute constrained, that machine would crawl at longer contexts.

Re: Claude Code: connect to a local model when your quota runs out

#76
post #22

> Reduce your expectations about speed and performance! Wildly understating this part. Even the best local models (ones you run on beefy 128GB+ RAM machines) get nowhere close to the sheer intelligence of Claude/Gemini/Codex. At worst these models will move you backwards and just increase the amount of work Claude has to do when your limits reset.

This. It's a false economy if you value your time even slightly, pay for the extra tokens and use the premium models.

Re: Claude Code: connect to a local model when your quota runs out

#78
post #22

> Reduce your expectations about speed and performance! Wildly understating this part. Even the best local models (ones you run on beefy 128GB+ RAM machines) get nowhere close to the sheer intelligence of Claude/Gemini/Codex. At worst these models will move you backwards and just increase the amount of work Claude has to do when your limits reset.

The best open models such as Kimi 2.5 are about as smart today as the big proprietary models were one year ago. That's not "nothing" and is plenty good enough for everyday work.

Kimi K2.5 is fourth place for intelligence right now. And it's not as good as the top frontier models at coding, but it's better than Claude 4.5 Sonnet. https://artificialanalysis.ai/models

Re: Claude Code: connect to a local model when your quota runs out

#79

Earlier quoted context omitted.

The best open models such as Kimi 2.5 are about as smart today as the big proprietary models were one year ago. That's not "nothing" and is plenty good enough for everyday work.

Which takes a $20k thunderbolt cluster of 2 512GB RAM Mac Studio Ultras to run at full quality…

Most benchmarks show very little improvement of "full quality" over a quantized lower-bit model. You can shrink the model to a fraction of its "full" size and get 92-95% same performance, with less VRAM use.

Re: Claude Code: connect to a local model when your quota runs out

#80

Earlier quoted context omitted.

Inference is profitable. Maybe we hit a limit and we don't need as many expensive training runs in the future.

For sure Claude Code isn’t profitable

Neither was Uber and … and …
Post reply on HN