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- Hacker News
- $10 for Kagi, which I had before AI was a thing, so it’s not strictly AI spend.
At work, I have no life. I don’t have visibility into the cost.
by al_borland - $30/mo for Synthetic (open weight models with ZDR and high throughput) + whatever coding plan the flavour of the month is (last month was $20 on NeuralWatt, this month $4.99 on ClinePass for DSFlashV4 mostly)by de_dave
- Cursor Pro $20/month
Mostly for side projects. I use GPT/Opus for planning, while Auto handles the implementation and the majority of the work.
by suveshmoza - I have subscriptions for ChatGPT Plus and Claude Pro, so about $40/month. I use them for coding mostly, switching between them frequently and heavily. On the occasional times I run out of tokens I'll go outside and take a walk or spend time with family.
Been doing it this way for ~the last 6 months or so.
I do also use the API's for GPT and Gemini for some side projects, but the spend there is highly variable. It rarely exceeds $100 in a given month.
by davedx - I spend $300 a month for Claude Max $200 and Google AI Ultra $100. Google Meets with live translation feature is a must-have for me, because I communicate with international clients almost everyday. It also gives me $40 monthly Google cloud credit where I can use it to test my client projects or my open source projects. Claude is my main tool for design, coding, and almost everything.
- I spend $300 per month on Claude's Pro subscription (20x tier), split with my cousin as we work as duo. It's pretty good and we never had to switch to another AI since we mostly code and Claude is pretty much the cream of the crop right now.by sidd9jain
- $0. but I use at least $8,000 worth of monthly tokens.
I used to have: $200 Claude-max $10 github copilot $20 chatgpt $20 Cursor
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then, I spent roughly $5000 in tokens for a project which turned out to be a dud. Figured, inference wasn't going anywhere as its now 80% of my day. So, I built a 4x DGX Spark cluster and put GLM5.2 on it. Then put a few qwen models for vision and embedding purposes on my original DGX Spark and completely went local. Tron, my Hermes agent, uses agent storming to orchestrate openCode agents and hermes subagents to handle most of my daily tasks.
For fun, I reworked a public Github vLLM Dashboard to track my usage and cloud cost avoided. original dashboard was by github.com/niklasfrick but I extended it. github.com/Wpnx330/spark-dashboard
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For my day job I spend about $1000 + $20 a month in cursor costs.
by Wpnx330 - For me, the biggest pain point was actually having multiple AI subscriptions just to use different models for different things. I’m working on Talkory.ai, so I naturally use several models—GPT, Claude, Gemini, Grok, Perplexity, etc.—for things like coding, research, content and brainstorming. Individually, each subscription makes sense, but collectively the monthly cost adds up pretty quickly.
That’s one of the reasons I started building Talkory.ai: instead of paying for and switching between multiple AI tools, you can access and compare multiple models in one workspace and see which one gives the best answer for your particular task.
So rather than thinking “Which AI subscription should I pay for?”, I’m working on “Can I get the best model for each task without maintaining 5–6 separate subscriptions?”