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tashfeenahmed/freellmapi

One OpenAI-compatible endpoint that pools free tiers from 34 LLM providers with routing and failover, for hobby experiments.

40,664
5,483
TypeScript
MIT
6 months old

The problem

Nearly every LLM provider hands out a free tier — a few million tokens a month or a few thousand requests a day. Individually that's a toy; stacked, the README claims roughly 7.4B tokens a month. But stacking them by hand means 34 SDKs, 34 rate-limit policies, and 34 failure modes, and quotas change without notice. This project exposes all of the pooled providers behind a single /v1 endpoint, routing each request to an available model and failing over when one is throttled.

What's different

Compared with a gateway like LiteLLM or OpenRouter, the distinguishing idea here is that the product is built around other vendors' free quotas: per-key usage tracking to stay under each cap, automatic failover across providers, and encrypted key storage. It also self-updates its model catalog from a signed remote feed, so quota and model changes arrive without a git pull — though free installs see a 30-day-old snapshot while the $19/yr "premium" tier gets the same-day feed. Treat that paid gate on freshness as a design choice, not a technical limit.

Who it's for

Developers who want to experiment with coding agents such as Claude Code or Codex CLI, or run personal side projects, without paying per token. Anyone encoding a real product's reliability expectations on top of other companies' free tiers should not bother: the free quotas are not a contract, and the README itself frames the project as personal experimentation only.

Cost of adoption

TypeScript/Node, MIT licensed, distributed as macOS and Windows desktop builds, a Docker image and a mobile app. The setup cost is not the install but collecting and rotating API keys for each provider — many free tiers require accounts, phone verification or region-bound billing (ModelScope, for instance, reportedly needs an Aliyun binding). The README is long but thin on operational detail for the server side; check the linked architecture docs before self-hosting. Expect provider churn to break routes and the remote catalog feed to be a single point of trust.

Verdict

A brand-new project: created in April 2026, and with 40.6k stars and one day on the trending board, the interest is concentrated rather than proven over time. The +12k monthly gain is real, but such a fast rise on a project built entirely on other vendors' goodwill invites caution — quotas can shrink and terms can change at any time. It is a clever convenience layer, not infrastructure. Try it for personal agent experiments; don't build a product on it.

Hacker News

FreeLLMAPI – One OpenAI-Compatible API for Multiple Free LLM Providers
▲ 1 · 1 comment · October 7, 2026

Written by AI from the project's README, updated October 24, 2026. The project's own docs are the source of truth.