Transcription
Open your bank statement and count the AI subscriptions. Chat GPT, $20. Cursor, 20. Perplexity, 20. Midjourney, 30. Runway, 28. 11Labs, 22. Suno, 10. HeyGen, 29. That's $179 a month. Over 2,100 a year.
And you're not unusual. The average American AI subscriber already pays $66 a month. And a quarter of them pay over 100. Here's the bad news. The Boston Globe says price increases are coming across the board. Two days ago TechCrunch called it a price war.
So, I fact-checked the free open-source replacement for every single line on that bill. Nine subscriptions. The meter starts at 179. And at the end the honest part nobody else gives you the three I still pay for. Let's take this bill to zero.
First Chat GPT Plus. $20. The replacement is two pieces. The interface is Open WebUI. 141,000 GitHub stars. And it does more than Chat GPT's own APP. Full offline mode. Voice calls. Image generation. Web search. And document chat with nine vector databases to choose from. The brain is where 2026 changed everything. Google switched Gemma to a true Apache license this generation. And Gemma 4 12 B runs on a 16 GB laptop. No GPU tower. Prefer something stronger? Qwen 3.6 27B is the local favorite. 5 million downloads. Pipe it through Ollama point. Open web UI at it. Done. The honest part, a local 12 B model is not frontier level GPT. For drafting, summarizing, coding help, and private documents, you will not feel it. For the hardest reasoning, you will. Minus 20, the bill is 159.
Next, Cursor. $20 a month. The replacement is Klein. Apache licensed, 63,000 stars, and it shipped a new release the day I recorded this. It's a full coding agent in VS Code or JetBrains. Plan and act modes, every edit needs your approval, checkpoints to undo anything, and it runs your terminal and fixes its own compile errors. The catch with every free coding agent is the model behind it. Three honest roots. One, Open Router's free tier. Qwen 3 Coder, a 400 ATB model, free at 20 requests a minute. Two, fully local through Ollama, if you have the hardware. Three, and write this down, Google's Gemini CLI free tier. The one every tutorial recommends shuts down June 18th. And Qwen Code's free tier already died in April. Free endpoints rot. Local models don't. Minus 20, 139.
Perplexity Pro, $20. Here's a fact almost nobody has caught up with. The famous open-source Perplexity clone, Perplexica, doesn't exist anymore. It renamed itself to Vain in March. Same project. 35,000 stars, MIT licensed. It runs on SearXNG, the self-hosted meta search engine. So, no search company sees your queries. Three modes: speed, balanced, quality. It searches the web, discussions, and academic papers, handles image and video search, and the April update added its own deep research mode. Point it at a local model through Ollama, and the whole pipeline is private, end to end. The honest part, it's largely one maintainer, and the answers are only as sharp as the model you feed it. Minus 20. 119.
Now, a bonus skill. One that was never even on our bill. OpenAI sells a $100 tier, whose headline feature is 50 deep research sessions a month. The open source version is GPT researcher. 27,000 stars. Apache licensed. A planner agent writes the research questions. Execution agents fan out and gather. A publisher compiles a 2,000-word report from over 20 sources. And here's the math that should make you angry. A deep research run costs about 40 cents in API credit, and takes 5 minutes. 50 runs. The exact monthly quota OpenAI sells for $100, costs about $20 of API credit. Same job. 80% margin. The honest part, it needs your own API keys, so it's pennies per run, not zero. And a hosted frontier agent will still out research it on the knarliest questions.
Midjourney. $30 a month for the standard plan. The runner is ComfyUI. 116,000 stars. The default engine of open image generation. The model is the part most videos get wrong. So, here's the licensed truth. Flux 2 dev is the open quality king. But, its weights are non-commercial. Although, its outputs are explicitly free to sell. The clean pick is Flux 2 client 4B true Apache license. 13 GB of VRAM and an RTX 4070 class card runs it. And if you need perfect text inside images, posters, thumbnails, UI mockups, Kwen image beats everything open and runs quantized on 8 to 12 GB. The honest ladder. 8 gigs gets you SDXL and Kwen quantized. 12 to 16 runs client comfortably. 24 runs full Flux dev minus 30. $89.
Runway. $28 a month on the annual plan. Two open models split this job. One, 2.2, Apache licensed, 16,000 stars, has a 5B version that does 720p video on one consumer card. And LTX 2 from Lightricks is the one nobody's caught up with. It generates video and synchronized audio in a single pass. The only open model that does. Up to 4K clips up to 20 seconds. Now, two honest warnings. First, on a 12 to 24 gig card, you're making 5 to 10 second clips. And each one takes minutes. Competitive with Runway for social clips. Not Sora level cinema. Second, a trust check. Those articles claiming one 2.7 just went open source. SEO content farms. Alibaba never open sourced anything past 2.2. The GitHub issues are full of people calling them out. Verify before you download. -28 61.
11 Labs $22 a month for 100,000 characters. The replacement is Chatterbox from Resemble AI MIT licensed 25,000 stars updated yesterday. In published blind tests listeners preferred Chatterbox Turbo over 11 Labs. 65% to 25. It clones a voice from 5 to 10 seconds of audio. It has an emotion dial. It speaks, laughs, and cough tags natively. And the Turbo model is tiny. 350 million parameters 75 millisecond latency runs on a 6 GB GPU. It even watermarks its own output. The honest part Turbo the blind test champion is English only. The multilingual version covers 23 languages but isn't the one that beat 11 Labs. And long audiobooks need chunking. -22 $39.
Suno $10 a month. The replacement is a step 1.5. MIT licensed 11,000 stars. The speed is absurd. A full song in under 10 seconds on an RTX 3090. And the Turbo variant runs in 6 GB of VRAM. 10-second jingles to 10-minute tracks. 50 languages. And it runs on Mac AMD and Intel. Not just Nvidia. There's even a Spotify style local UI built by the community. And you can fine-tune it on your own songs in about an hour. Now, the honesty and credit to the developers, it's their own words. They rate the quality between Suno 4.5 and Suno 5. One generation behind the paid model. For background tracks, demos, and content music, more than enough. For release grade vocals, not yet. Minus 10. $29.
Last line on the bill, HeyGen. $29 a month, and the creator plan caps you at about 10 minutes of avatar video. The open answer is Infinite Talk. Apache licensed, updated 3 weeks ago. One photo plus one audio file becomes a talking video of unlimited length. It syncs the lips, the head, and the body motion. Not just the mouth. Pair it with Chatterbox from earlier, and your cloned voice does the talking. That's the stack starting to compound. The honest part, and I'm not going to dress it up. This is the weakest swap on the list. It's a research grade pipeline, not a product. You'll want 16 to 24 gigs of VRAM. It takes minutes per clip, and it tops out at 720p. It works. But HeyGen's polish is real. Minus 29. The meter reads zero. $179 a month to zero. $2,100 a year.
Now, the two honest pages. First, hardware. Three lanes. A 16 gig laptop runs the chat, search, and music lane today. A 24 gig GPU, a used RTX 3090 is around $700 once runs everything in this video. No GPU at all? The free cloud tiers work. But you saw what happens. They rot.
Second, the three I'd still pay for. One, Claude. Agentic coding at the frontier has no open equal yet, and it powers my actual work. Two, and this is the math nobody admits. If you don't own a GPU, a $10 flat rate coding plan is often cheaper than burning API tokens through a free agent. Flat rates are subsidized, tokens aren't. Three, so no. If music is the product you sell, one generation of quality is audible. Everything else on that bill genuinely replaceable today. Nine subscriptions fact-checked replaced.
I've put the whole thing into one free guide, the zero dollar AI stack. Every repo link, which hardware lane it needs, the license watch list for anything you plan to sell, and the keep paying verdicts. Comment the word zero stack, and I'll send it straight to you. If you want the deep dive on the repos behind this, the two-part GitHub series is on screen now. Deep dives live here on YouTube, so subscribe. And the bite-size drops are on Instagram at hyperautomationlabs. Now go read your bank statement. Something on it is free now.