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description= I ran 500 AI queries/day for a year — locally and in the cloud. Here are the real numbers, hidden costs, and what I actually recommend. Tagged with ai, llm, selfhosted, productivity.;
keywords= ai, llm, selfhosted, productivity, software, coding, development, engineering, inclusive, community;
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and (12), dev (12), local (12), month (12), cloud (11), the (8), for (7), share (6), code (6), you (6), ollama (6), qwen (6), your (5), comments (5), 500 (5), costs (5), queries (5), #community (4), 2026 (4), that (4), use (4), here (4), sam (4), hartley (4), are (4), total (4), fullscreen (4), mode (4), gpt (4), claude (4), sonnet (4), create (3), with (3), software (3), free (3), agent (3), this (3), abuse (3), hidden (3), time (3), minutes (3), cost (3), models (3), setup (3), openai (3), coder (3), 30b (3), comparison (3), real (3), account (2), log (2), their (2), privacy (2), conduct (2), help (2), one (2), actually (2), work (2), devops (2), automation (2), python (2), limits (2), llm (2), more (2), from (2), mar (2), building (2), telegram (2), follow (2), may (2), hide (2), sure (2), comment (2), will (2), post (2), still (2), visible (2), via (2), report (2), user (2), things (2), server (2), exit (2), enter (2), install (2), pull (2), qwen3 (2), run (2), model (2), 150 (2), data (2), per (2), 100 (2), 187 (2), query (2), simple (2), extraction (2), complex (2), reasoning (2), generation (2), close (2), quality (2), rtx (2), 3060 (2), mac (2), mini (2), monthly (2), google (2), gemini (2), pro (2), anthropic (2), 200 (2), day (2), api (2), content (2), llms (2), apis (2), copy (2), link (2), search (2), place, where, coders, stay, date, grow, careers, made, love, 2016, ruby, rails, built, powers, other, inclusive, communities, open, source, forem, terms, policy, mlh, shop, postgres, database, contact, about, showcase, organization, accounts, advertise, education, tracks, videos, challenges, home, space, discuss, keep, development, manage, career, timeout, means, rule, makes, approval, gates, scheduled, ran, times, did, nothing, assertion, fixed, spent, overnight, why, held, alerts, didn, monitoring, agents, joined, developer, setups, bots, smartwatch, apps, further, actions, consider, blocking, person, reporting, confirm, child, well, want, become, but, permalink, some, only, logged, visitors, view, all, sign, dismiss, preview, submit, templates, let, quickly, answer, faqs, store, snippets, template, trusted, personal, subscribe, top, along, celebibot_en, need, setting, professionally, curl, https, com, start, chatting, fssl, getting, started, frontier, won, locally, yet, power, operation, storage, 40gb, each, these, days, initial, hardware, gpu, pays, off, under, being, fair, downtime, outage, workflow, stops, vendor, lock, changes, pricing, stuck, live, someone, else, latency, 2000ms, request, 500ms, rate, hit, ceiling, during, deadline, too, bad, people, forget, result, dropped, formatting, instant, heavy, 12s, 003, 015, hybrid, approach, multi, step, wins, any, matches, general, chat, roughly, daily, tasks, good, enough, what, surprised, break, even, less, than, ongoing, electricity, 12gb, used, ebay, already, owned, workload, review, customer, support, analysis, test, been, running, both, over, year, numbers, just, chatgpt, until, bill, hits, selfhosted, productivity, posted, mastodon, facebook, linkedin, copied, clipboard, pick, gem, boost, save, jump, fire, raised, hands, exploding, head, unicorn, like, add, reaction, powered, algolia, navigation, menu, skip,
Text of the page (random words):
local llms vs cloud apis a real cost comparison 2026 dev community skip to content navigation menu search powered by algolia search log in create account dev community close add reaction like unicorn exploding head raised hands fire jump to comments save boost pick as gem more copy link copy link copied to clipboard share to x share to linkedin share to facebook share to mastodon share post via report abuse sam hartley posted on mar 19 local llms vs cloud apis a real cost comparison 2026 ai productivity llm selfhosted just use chatgpt sure until your api bill hits 500 month i ve been running both local and cloud ai for over a year here are the real numbers the test setup cloud openai gpt 4o anthropic claude sonnet google gemini pro local ollama with qwen 3 5 9b mac mini m4 qwen 3 coder 30b rtx 3060 workload 500 queries day code review content generation customer support data analysis monthly cloud api costs for 500 queries day openai gpt 4o 200 queries 90 month anthropic claude sonnet 200 queries 72 month google gemini pro 100 queries 25 month total 187 month monthly local setup costs mac mini m4 already owned 0 rtx 3060 12gb used ebay 150 one time electricity 24 7 12 month total 12 month ongoing break even less than 1 month quality comparison what surprised me for 80 of daily tasks local models are good enough general chat qwen 3 5 9b is roughly gpt 4o quality 90 code generation qwen 3 coder 30b is close to claude sonnet 85 90 simple q a and extraction any 7b model matches cloud 95 complex multi step reasoning cloud still wins here the hybrid approach i use user query simple q a formatting extraction local qwen 3 5 9b free instant code heavy local qwen 3 coder 30b free 12s complex reasoning cloud claude sonnet 0 003 0 015 per query enter fullscreen mode exit fullscreen mode result cloud costs dropped from 187 month to 25 month hidden costs of cloud things people forget rate limits hit the ceiling during a deadline too bad latency 500 2000ms per request vs 100 500ms local privacy your code and data live on someone else s server vendor lock in openai changes pricing you re stuck downtime their outage your workflow stops hidden costs of local being fair initial hardware 150 500 for a gpu pays off in under a month setup time 30 minutes with ollama these days storage models are 4 40gb each power 10 15 month for 24 7 operation no frontier models you won t run gpt 4 locally yet getting started in 10 minutes install ollama curl fssl https ollama com install sh sh pull a model ollama pull qwen3 5 9b start chatting ollama run qwen3 5 9b enter fullscreen mode exit fullscreen mode total time 10 minutes total cost 0 need help setting up a local ai server i do this professionally follow along telegram celebibot_en sam hartley building ai things that actually work top comments 1 subscribe personal trusted user create template templates let you quickly answer faqs or store snippets for re use submit preview dismiss some comments may only be visible to logged in visitors sign in to view all comments code of conduct report abuse are you sure you want to hide this comment it will become hidden in your post but will still be visible via the comment s permalink hide child comments as well confirm for further actions you may consider blocking this person and or reporting abuse sam hartley follow developer building local ai setups telegram bots and smartwatch apps joined mar 7 2026 more from sam hartley my agent spent 23 overnight here s why my limits held and my alerts didn t agents cloud llm monitoring my scheduled agent ran 40 times and did nothing here s the assertion that fixed it ai devops python automation timeout means no the one rule that makes ai agent approval gates actually work ai python automation devops dev community a space to discuss and keep up software development and manage your software career home dev challenges dev videos dev education tracks dev help advertise on dev organization accounts dev showcase about contact free postgres database dev shop mlh code of conduct privacy policy terms of use built on forem the open source software that powers dev and other inclusive communities made with love and ruby on rails dev community 2016 2026 we re a place where coders share stay up to date and grow their careers log in create account
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