A cheaper alternative to premium AI coding subscriptions

If you have shopped for an AI coding tool recently, you know the shape of the market: a handful of premium options priced from twenty to a couple of hundred dollars a month, each with usage caps that the people who get the most value from the tool hit first. The pricing assumes the model is the expensive, scarce resource, so it meters your access to it. For a lot of developers, a student, a freelancer, a two-person agency, that combination of price and rationing is the difference between using an agent every day and not using one at all.

Pier takes the other side of that bet. It runs in your terminal on Sarvam's Indian models, which are priced well below the big US ones. Pro is five dollars a month, Max is twenty for full-time use, and you can top up five dollars at a time whenever you run low. Whatever you buy stays bought, since the credits do not expire. We were aiming for a number where a full day of agentic coding costs less than your morning coffee, so reaching for the agent never involves doing arithmetic first.

Is a cheaper model actually good enough? Mostly, yes, with one caveat we will not hide: on the really hard whole-repo problems, the largest frontier models are still better, and we would rather tell you that than oversell. But planning a change, refactoring, answering questions about a codebase, getting a failing test green, writing the next small feature, that is the bulk of a working week, and a well-built agent on an affordable model handles it comfortably. On that kind of work the model is rarely the bottleneck anyway; the editing tools and the control loop around it do more of the heavy lifting than people expect.

You do not have to trust the pitch. The pricing page lays out the tiers and the token-rate comparison, cost per task shows what real jobs cost to finish, and the FAQ covers what people usually want to know before pointing a new agent at their own repo.

There is a quieter reason the model's origin matters. Pier runs on models trained in Bharat, and it takes prompts in English, Hindi, Tamil, Kannada, and more. A huge share of India's developers do not think in English first, and a tool tuned for how the country actually writes code meets them where they are instead of asking them to translate themselves. Cheaper, not rationed, and built closer to home is simply a different starting point than the premium subscriptions, and for most of the work we do, it is the one we would pick.