Cloud vs Local AI

Pick by Constraint, Not by Hype.

Self-hosting Gemma 4 on your GPU, paying a cloud API per token, or opening a Telegram chat where frontier models already run — three real paths with three honest bills. This guide sorts them by the only thing that matters: which constraint is actually yours.

Privacy → local · building → API · good answers now → chat.Honest about all three paths
Open @vustbot (no setup)
Decision guide, not a tutorialPrivacy cases taken seriouslyThe no-setup middle path

Honest scope

We sell the third path — so here's us being fair to the other two

VUST's product is the chat door: frontier models in Telegram with a free tier and per-use Balance. That's exactly why this page grants local its real wins (privacy, offline, fine-tuning, owned-hardware volume) and grants APIs theirs (building products). If your constraint is one of those, follow it — the decision table above works even when it points away from us.

Local models are not our product; nothing on this page claims we run Gemma.
Specimens

See the difference

Three paths, three honest bills — local, API, chat.

Local (Gemma 4, Llama, etc.)

What you get

Weights on your hardware: zero per-token cost, data never leaves the machine, offline works, fine-tuning allowed. Gemma 4's Apache 2.0 license made this genuinely practical for commercial use.

What you pay instead

The hardware (small models run on laptops; 12B+ wants real GPU memory), the setup (runner, quantization, prompt templates) and the ceiling: no local-runnable size matches a frontier model on hard reasoning. Honest fit: privacy-hard requirements, offline, tinkerers with idle GPUs.

Cloud API (OpenAI, Anthropic, Google)

What you get

Frontier quality, per-token billing, SDKs and infrastructure someone else maintains. The default for building products.

What you pay instead

A card-based account per provider, per-token bills that grow with usage, and your data transiting a vendor. Honest fit: developers shipping software — this page's reader often isn't building anything, just wants good answers.

Chat door (the middle path)

What you get

Frontier models — the GPT-5.6 family, Claude Opus 4.8, Gemini 3.1 Pro, DeepSeek, Grok — inside a Telegram chat: free tier, no card, no GPU, no API keys, switch models mid-conversation.

What you pay instead

Per-use Balance with the exact price shown in Telegram before payment beyond the free tier, and it's a chat, not an API: no batch pipelines, no fine-tuning. Honest fit: the 'I just want Gemma-tier answers without the GPU stack' reader — which is most people who land on comparison pages like this.
Practical use cases

Three readers, three right answers

The privacy-constrained
Contracts, medical notes, anything that must stay on-machine
Local open weights (Gemma 4 under Apache 2.0) are the correct call — no vendor transit, offline works, fine-tuning allowed.
The builder
Shipping a product that calls a model
Cloud APIs are the default: frontier quality, SDKs, per-token billing. This page's job is to say so even though APIs aren't our product.
The answer-seeker
Good answers today, no setup appetite
Frontier models in a Telegram chat: free tier, no card, no GPU, no API keys. Most 'cloud vs local' searches end here honestly.
How it works01–03

How to actually decide

  1. 01

    Name your binding constraint

    Privacy/offline/fine-tuning → local. Building software → API. Wanting answers → chat. The constraint decides; preferences just pick the color.

  2. 02

    Price the whole path

    Local = hardware + setup + maintenance (weights are free, the stack isn't). API = per-token forever. Chat = free tier, then per-use Balance inside Telegram after the exact price is shown.

  3. 03

    Respect the quality ceiling

    No local-runnable size matches the GPT-5.6 family or Claude Opus 4.8 on hard reasoning. If peak quality is the constraint, the answer is cloud — via API or chat.

Same tool · in Telegram@vustbot

The no-setup path, concretely

Open @vustbot: the GPT-5.6 family, Claude Opus 4.8, Gemini 3.1 Pro, DeepSeek and more — free tier, model switching, and an exact price shown before any paid run.

Open in Telegram
Quality & trust

Honest scope — we sell one of the three paths

Our stake, disclosed

VUST's product is the chat door. That's exactly why the local and API columns above are written to be true even when they point away from us — a decision guide that always concludes 'buy ours' isn't one.

No local product here

We don't ship, host or wrap Gemma or any local model. The Gemma guide next door is verified facts plus a waitlist demand-counter, nothing more.

FAQ

Frequently asked questions

Is local AI actually free?

The weights are free; the total cost isn't. You pay in hardware (a GPU with enough VRAM for your chosen size), electricity, and setup/maintenance time. If you already own the hardware and enjoy the tinkering, marginal cost per answer is near zero — that's a real win. If you'd be buying a GPU to 'save money on AI', the math almost never closes.

Can a local model match the GPT-5.6 family or Claude Opus?

No — and vendors of local tooling say so too. Open-weights families like Gemma 4 are remarkable for their size class and keep improving, but the frontier ceiling belongs to large cloud models. Pick local for constraints (privacy, offline, cost-at-volume on owned hardware), not for peak quality.

When is local genuinely the right call?

Four honest cases: data that must not leave your machine (legal, medical, trade secrets), offline or air-gapped environments, fine-tuning on private data, and high-volume workloads on hardware you already own. In those cases Gemma 4 under Apache 2.0 is exactly what it promises.

What is the 'Gemma-tier without the GPU stack' option?

Most people comparing cloud vs local don't need either an API contract or a homelab — they need good answers today. @vustbot serves frontier models in a Telegram chat: free tier for everyday questions, stronger models per-use with the exact price shown in Telegram before payment, no card and no setup. That's deliberately a third shape, not a compromise between the two.

Do I need extra apps or a foreign card for the chat option?

No card: the free tier starts on your existing Telegram account, and top-ups are payment inside Telegram. No separate site or API key. If Telegram works where you are, the models work.

What about Ollama and LM Studio — aren't they the easy path?

They made local hosting dramatically easier, honestly. But 'easier' still means choosing a model size and quantization, having the RAM/VRAM to hold it, and accepting the local quality ceiling. If that list reads like fun, do it — Gemma 4 is the family we'd start with. If it reads like homework, the chat door exists.

Where next

The decision-making set.

Gemma 4 guideGoogle's open-weights family — sizes, license, honest fit.All modelsEvery frontier model @vustbot runs, free tier included.Payment optionsSee exact prices and the available Tribute or Crypto checkout.All tools

Ready when you are

Pick by constraint. All three paths are real.

Privacy → local Gemma. Products → cloud APIs. Answers today → frontier models in Telegram, free tier first.

Open @vustbotThe Gemma 4 guide