swadhin.ai

Your AI. Your rules.

Why it matters
  1. Per million tokens⁠Kimi K3 costs about ₹666 per million tokens to rent, against ₹484 running it yourself on 28 H100s for 200 people at once. Self-hosting gets cheaper the busier it runs. swadhin calculator ↗: rented, ₹666; owned, ₹484.
  2. Price next year⁠Moonshot AI’s terms say it “may update pricing from time to time.” When its Kimi K2 Turbo offer ended on 1 September 2025, the price doubled, from $1.20 to $2.40 per million input tokens. Weights you have downloaded never get a new price. Kimi terms ↗ · Moonshot announcement ↗: rented, Can double; owned, Stays the same.
  3. Your model⁠Moonshot AI retired Kimi K2.5 from its API on 31 August 2026, along with its whole moonshot-v1 line, and points users to Kimi K3. Weights you hold keep running. Kimi models ↗: rented, Can be switched off; owned, Runs until you stop it.
  4. Your prompts⁠Kimi’s API keeps what you send on Moonshot AI’s servers in Singapore for as long as your account is active. On your own machines, prompts never leave. Kimi privacy policy ↗: rented, On their servers; owned, On yours, only.
  5. Usage⁠Moonshot AI sets your limits by how much you have paid in: $1 gets one request at a time, and even $3,000 gets only 100. Your own hardware serves as much as it can hold. Kimi rate limits ↗: rented, Capped by them; owned, As much as you run.

Kimi K3, an open model.

Why it matters

Four things decide who is in charge.

Using AI means leaning on four layers. Whoever holds a layer decides what it will and won’t do for you.

When all four are yours, you are swadhin.

  1. 04

    The rules

    Decide what it may answer, what it records, and whose law applies.

    yours
  2. 03

    The data

    Everything you type in, and everything it says back.

    yours
  3. 02

    The model

    The weights that do the thinking, and which version answers you.

    yours
  4. 01

    The machines

    Where it all runs, how fast, and for how many people at once.

    yours

Swadhin Chat

Asked in India. Answered in India.

Answered by Sarvam 30B, an open-weight model from India. The same weights are free to download and run on machines of your own. Sarvam 30B on Hugging Face ↗

Start a free chat
₹5 lakh ka loan, 9% byaaj, 3 saal. EMI kitni hogi?
EMI lagbhag ₹15,900 mahina. 3 saal mein byaaj karib ₹72,400.
Sarvam 30B · open weights · an example, not recorded output

Every model runs in India.

Seven providers, all in India, and every reply names the one that answered. Your account and conversations live on Utho’s servers in India. Logs stay here for 180 days, as CERT-In requires.

Model providers

  1. Sarvam AIIndia
  2. YottaIndia
  3. NeevCloudIndia
  4. Cyfuture AIIndia
  5. KrutrimIndia
  6. Amazon BedrockMumbai region
  7. Google Vertex AIMumbai region

Amazon and Google run in Mumbai, but they are US companies.

Own it

Then make it yours.

Run an open model on machines you choose. Then nobody else sets your price, your limits or your end date.

Calculator

Know what owning costs.

Pick a model and your team size. See the hardware, the monthly bill, and when owning pays off.

For example: Kimi K3, 200 people at once

  1. Hardware28 × H100
  2. Running it yourself₹74 lakh a month
  3. Paying per token₹1.02 crore a month
  4. Owning pays off from146 people at once

GPUs only, at about ₹362 an hour each. The calculator shows every step.

Open this example  →

Leaderboards

Choose on evidence.

AI tools and hardware, ranked from official results. Every ranked number links to the row it came from.

  1. AI Observability 18 September 202618 platforms, 10 criteria
  2. Guardrails 17 September 202615 tools, grouped by type
  3. AI Gateways 16 September 20269 open-source gateways, 20 capabilities
  4. Inference Hardware 15 September 2026494 chips, 108 rankings
  5. Coding Harnesses 8 September 2026Coding agents on Terminal-Bench
Browse the leaderboards  →

Work with us

Your model, running your way.

We deploy open models on your own GPUs or in a data centre you choose, and keep them running for you.

  • On your GPUs, or in a data centre
  • Secure by default
  • An audit log of every request
Contact us

Adhin

Dependent on someone else.

Be swadhin.

Dependent on yourself.