vust

Mistral AI & open models

Open Models Without the GPU Bill.

Mistral AI made permissive licensing a headline feature, and it earned the attention. But there are two honest routes to an open model: run the weights yourself, or open @vustbot and chat with DeepSeek, Qwen, GLM, Kimi, MiniMax and LongCat — no GPU, no API key, no separate account.

Switch models mid-conversation. Free tier to start.Open-weight models, in a Telegram chat
No GPU, no local runnerSwitch models mid-chatNo card to start
Specimens

See the difference

Self-host or hosted chat — what each route actually costs you.

The self-host route

What it takes

Pick a model size your machine can hold, install a runner such as Ollama or LM Studio, choose a quantisation, and accept that a laptop-sized model answers noticeably worse than the full-size one it was cut down from.

What you get for it

Total control. The weights are yours to audit and fine-tune, the conversation never leaves your machine, and the exact model you pinned today still answers the same way next year.

The hosted route

What it takes

Open @vustbot in Telegram and type your question. Nothing to install, no API key to mint, no separate account to create.

What you get for it

Full-size open models — DeepSeek, Qwen, GLM, Kimi, MiniMax and LongCat — switchable inside one thread, next to the frontier models, so you can put the same task to two of them and compare.
Practical use cases

Who reads this page

European-model fans
Weighing Mistral's open weights against a hosted chat
A plain read on what the open licence buys you, and what it costs you in setup.
Open-license users
Want permissively licensed weights they can inspect
The self-host route in three steps, plus the hosted open models @vustbot runs.
Model explorers
Want several strong models in one chat
Switch between DeepSeek, Qwen, GLM, Kimi, MiniMax and LongCat in @vustbot.
How it works01–03

Two honest routes to an open model

  1. 01

    Run the weights yourself

    Download open weights, install a local runner such as Ollama or LM Studio, and you own the whole stack — hardware, updates and privacy included.

  2. 02

    Or skip the setup

    @vustbot gives you strong open models in a Telegram chat: no GPU, no API key, no separate account.

  3. 03

    Switch models mid-conversation

    Pick DeepSeek, Qwen, GLM, Kimi, MiniMax or LongCat in the same thread and compare their answers on your own task.

Same tool · in Telegram@vustbot

Try an open model in one chat

Open @vustbot and switch between DeepSeek, Qwen, GLM, Kimi, MiniMax and LongCat in the same thread — no GPU, no API key, no separate account.

Open in Telegram
Quality & trust

What to know before you choose

What Mistral is

Mistral AI is a French lab that publishes a family of openly licensed model weights alongside its hosted products — valued for permissive licensing and for strong performance at small parameter counts. Check Mistral's own site for the current lineup and licence terms.

Where open weights genuinely win

You can audit them, fine-tune them, run them offline, and keep every token on your own machine. That matters for regulated data, air-gapped work and anything you need to reproduce exactly a year from now.

Where a hosted chat wins

No GPU to buy, no runner to update, no quantisation trade-offs to reason about. @vustbot runs open models alongside frontier ones — DeepSeek answers on the free tier, and the larger open models are on the Pro plan. The exact price and the payment options are shown inside Telegram.

FAQ

Frequently asked questions

Which open models can I chat with in @vustbot?

@vustbot carries the open-weight families DeepSeek, Qwen, GLM, Kimi, MiniMax and LongCat, alongside the frontier models. You switch between them inside a single conversation, so the same question can go to two different models without starting over.

What is Mistral AI?

Mistral AI is a French lab that publishes a family of openly licensed model weights alongside its hosted products. It is best known for permissive licensing and for strong performance at small parameter counts — check Mistral's own site for the current lineup and licence terms.

Is it worth running open weights on my own machine?

It is worth it when you need auditability, offline operation, fine-tuning, or a guarantee that nothing leaves your hardware — regulated data and air-gapped work are the clear cases. It is rarely worth it when you just want good answers: consumer hardware forces you into smaller, quantised models, and you inherit the updates, drivers and disk space forever.

Do I need an API key or a developer account?

No. @vustbot runs inside Telegram — you open the chat and ask. There is no key to mint, no console to configure and no separate account to keep.

What does it cost?

DeepSeek answers on the free tier, and the larger open models are on the Pro plan.

Ready when you are

Open models, without the GPU bill.

Self-hosting buys you control and costs you setup. @vustbot gives you DeepSeek, Qwen, GLM, Kimi, MiniMax and LongCat in a Telegram chat instead — switchable mid-conversation.