正在加载视频...
视频加载失败
a developer posted his Claude Code bill on Reddit: $170 in 10 days. someone replied: "I bought a Mac Mini M4. Haven't paid Anthropic since." most people scrolled past that reply. the dev community didn't. Apple Stores ran out of Mac Minis the next month. not from launch hype... show more
28 条评论

No. A base Mac mini just can't run T parameters models such as Opus. The best usable model you can get is a 3B active parameters one. That does NOT compare.

Yeah — $170 in 10 days is real when sessions stay open. Mac Mini/local is one escape hatch; we still wanted a hard session/daily cap for the weeks we were on the API after a surprise bill:

But the code or task quality wont be the same right

new banger

yes, bro! i believe in this.

Different in math but a big difference in quality of work.

run some shit 7b model. no thanks. we will get there one day.

been saying local runs would flip cloud, yall just proved it with receipts

o

?

So to be clear you think frontier models are nothing special and not worth lots more than open source models?

now this is a banger

Replacing cloud infrastructure with your own hardware cuts cost a lot! The next step would be testing how many agentic workflows and the size of swarm a single Mac mini can handle

i am tiref of AI geberated fake slop like this one. @nikitabier can you start banning AI slop about self hosting AI ?

??? claude code 开源了吗?

Ownership changes the economics.

cc接ollama的确省钱

Cap

local ai keeps looking better

Solid breakdown. Local models are a good lever when they fit the task. For devs who still need hosted Claude/GPT/Gemini models, another option is an OpenAI-compatible API relay with discounted model access. We run FuturMix — one API key, 22+ models, no local infra to maintain.

クールなトリック! 賢い開発者たち!

What if you didn’t have to buy any expensive technology you could run it off of any machine? That’s something that I’ve been researching, especially since the industry is moving towards multi Agentic work. There may not be an issue of hardware anymore. It’s an issue of how the model and protocols operate. Here are some benchmarks.

subscription wins when devs dunno they can run local math flips once they figure it out

apple boxes were a real find banger article

apple box for life vs $170/month, truly comparable

The real demand signal was always compute cost vs. API pricing. If local inference on a $600 box beats $5/day API bills, the unit economics flip instantly for devs.

even with a 64gb config you can’t run anything remotely close to the overall software engineering performance of opus/codex you could use a 70-80B for scoped tasks or something smaller for assistant use but that’s it. a good harness makes a big difference though ngl

not sure 'haven't paid anthropic since' pencils out once you add setup time and hardware amortization for pennywise the break-even was probably 4-5 months out. did those devs actually run the numbers or just feel the relief of no invoice?
