Pick the plan that fits your setup.
Try saving 90% on your API bill and see if you can make it up somewhere else. We did with our own LLM stack and gave everyone the option and ability to do the same. No coding, no server knowledge, no serious skills required.
1 computer
For the enthusiast running LLMs on a single PC. Cancel anytime.
- 1 computer
- Full benchmark engine — unlimited runs
- Complete model catalog (13 curated open-weight models)
- Public leaderboard participation
- 8 one-click efficiency tweaks
- Priority email support
- Auto-updates + new models added weekly
- 24-hour bug fix for Founders
5 computers
Home + office + laptops on one license. Less than $10/device. Most active buyers pick this tier.
- 5 computers — any mix of desktops/laptops
- Everything in Personal
- Family or small team can share one license
- Swap machines in-app anytime
- Priority support queue
- 24-hour bug fix for Founders
Unlimited computers
Dedicated Founder + Network Manager team personally helping your business go local. Cut your AI/ops spend 80–90%.
- Unlimited computers across your org
- Dedicated Founder + Network Manager team
- Personal setup on every machine
- Efficiency tuning for your specific fleet
- Works with your IT on deployment
- 4-hour SLA + dedicated Slack/Teams channel
- Bring your own hardware or we recommend the build
- Typical customer breaks even in 2 weeks
All prices USD. Card data goes directly to Stripe — we never see or store it. Sales tax added per your state.
Why pay for this when free OpenClaw exists?
Can't I just use OpenClaw for free?
OpenClaw is free. What's not free is what runs underneath it — a $4–$13/month VPS plus $15–$25/month in Anthropic or OpenAI API fees for the LLM backend. Community members have reported agent loops draining hundreds of dollars overnight when left unsupervised. Local Model Dojo kills both bills — the models run on hardware you already own, no external API charges, no VPS rental.
OpenClaw needs 64k context. Can my laptop handle that?
Most users have no idea which of their local models actually hold a 64k context window at usable speed on their specific hardware. Local Model Dojo benchmarks that in 5 minutes and tells you exactly which models to use for long-context tasks.
For most real workflows, context window is a red herring — organized folder structure plus markdown memory files give effective context that's not bound by the model's window. Covered in the Education series.
What about the 700-skill registry attacks in early 2026?
OpenClaw's community registry got hit — hundreds of malicious skills uploaded, users got keyloggers and crypto miners. With Local Model Dojo, you generate custom code from your own Claude session — a single file you can read before running. No third-party skill library. No supply chain.
You know for a fact your data is safe — because it's on your computer.
Do I need to be a developer to set this up?
OpenClaw's "one-command install" hides 8 manual configuration steps — VPS firewall, DNS, messenger tokens, memory limits, model binding. Local Model Dojo ships as a signed Windows installer. First launch walks you through EULA, license entry, hardware scan, and recommended models. No VPS, no DNS, no command line. From install to first benchmark in under 8 minutes.
Won't local models be way worse than GPT-3.5 / Claude?
Frontier models are great. They're also expensive. Local Model Dojo tells you exactly which local model gets you 80% of frontier quality for $0 / month based on your actual hardware. A 14B reasoner on your GPU often beats GPT-3.5 on tasks you're actually going to run — and costs nothing per request.
Why $30/mo when I could buy a $497 Claude masterclass?
The math doesn't favor masterclasses. With code LAUNCH30 during the Founder window, Personal tier is $24/mo locked in for life — that's $288 for a full year. One year of working software, the ongoing Education series, the public leaderboard, and the founder community costs less than a single masterclass PDF. Software keeps shipping. Education keeps recording. The leaderboard keeps growing. Quit starting at zero every month.
What you actually pay for.
Hardware-aware model picker
One scan tells you which open-weight models will run smoothly on your machine. No more "out of memory" surprises.
Real benchmark, not vibes
5-prompt suite measures speed, code quality, JSON validity, reasoning, and long-form output. Real tok/s, not YouTube guesses on a 4090.
Public leaderboard
Submit your scores, get a profile with your username and hardware class. Climb the ranks. Hardware specs anonymized to a class.
Eight efficiency tweaks
Ultimate Performance, GPU high-perf, no-sleep, kill background bloat, Defender exclusions for model directories. All single-click revertible.
Priority support
Real human reads every email. Auto-bot triages license and billing immediately. 24-hour fix promise during the founder window.
Save vs API costs
Most users save 90%+ vs cloud API fees in the first month. Your benchmark dashboard shows which local models replace which paid services.
Other common questions.
How is Enterprise different from Pro?
Pro is a bigger license (5 computers). Enterprise adds a dedicated team — a Founder plus a Network Manager who personally help you set up every machine in your business, tune efficiency protocols for your hardware fleet, and work with your IT team on deployment. If you're spending $5k+/month on OpenAI / Anthropic / Google API fees for internal tools, Enterprise typically pays for itself in two weeks.
What's the Founder Program?
The first 30 days of customers are Founders — you lock in your tier price for life, get the 24-hour bug fix promise, and get a Founder badge on your leaderboard profile. Founders also get a permanent 50% off the Education plan when it launches. After 30 days, the window closes and pricing reverts to standard.
Why no cash refunds?
Small team shipping fast. Instead of cash refunds, we credit 50% off your next month's bill for any confirmed bug. You stay subscribed, you stay in the loop while we ship the fix, and we both stay invested in the relationship. Your Founder pricing also stays locked in if you cancel and come back later.
Can I upgrade or downgrade later?
Yes. Open the Account page, click through to the Stripe Customer Portal, pick a new tier. Prorated automatically.
Is this a bot for any specific game or app?
No. This is a benchmark and deployment tool for local language models. What you do with the models you deploy is your business — we don't host, facilitate, or endorse any automation that breaks a platform's terms of service.