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
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 Stars. 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.

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 — GPT-5.5, 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 sparks via Telegram Stars 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.

02·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.

03·How it works

How to actually decide

01Name your binding constraint

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

02Price the whole path

Local = hardware + setup + maintenance (weights are free, the stack isn't). API = per-token forever. Chat = free tier, then per-use sparks via Telegram Stars.

03Respect the quality ceiling

No local-runnable size matches GPT-5.5 or Claude Opus 4.8 on hard reasoning. If peak quality is the constraint, the answer is cloud — via API or chat.

04·Same tool · in Telegram

Telegram

The no-setup path, concretely

@vustbot · Open @vustbot: GPT-5.5, Claude Opus 4.8, Gemini 3.1 Pro, DeepSeek and more — free tier, switch models mid-chat, top up with Stars only when you need heavier runs.

05·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.

Frequently asked questions

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.