Practical guides on getting the most from free LLM tiers, routing for cost and speed, running local models, and building real AI on a student budget.
Stretch free tiers and low-cost APIs further with intelligent routing.
Cut API cost and latency by routing each call to the right model.
Build real AI projects on a student budget — without surprise bills.
Run models locally and unify them with the cloud through one API.
Pick the right model for every task — and route it automatically.
Why Indian freelancers and startups need GST invoices for AI spend, how Merchant-of-Record billing works, and how Ollima issues a GST-compliant tax invoice in INR.
Which open-weight models suit coding in 2026 — Qwen, DeepSeek, Llama and Kimi compared by strength — and how to use them all through one OpenAI-compatible API.
How free LLM access really works in 2026 — provider free tiers, rate limits and the hidden gotchas — plus where a router fits. Ollima gives you 50K free tokens a day.
An honest comparison of LLM routers and gateways — what they do, managed vs self-hosted, and where an INR-billed router for India fits. With a side-by-side table.
Why Indian devs struggle to pay global LLM APIs, and how to access every model in INR over UPI — with a GST invoice — instead of a forex-marked-up USD bill.
The best free and low-cost LLMs for students in 2026 — and how one student-priced key gets you Llama, DeepSeek, Qwen and Grok without juggling a dozen sign-ups.