
FreeLLMAPI
FreeLLMAPI is an open-source, self-hostable LLM router that aggregates free AI models from 34 providers behind a single OpenAI-compatible endpoint. It tracks quotas and availability in a live catalog, keeps provider keys local, and offers a premium tier that ships new models and fixes to your router the moment they are released.
What is FreeLLMAPI?
FreeLLMAPI is a free, open-source LLM router that exposes 609 models across 34 providers through one OpenAI-compatible key. The service maintains a live catalog that tracks which models are currently free, their quotas, and their availability, reporting 7.4 billion free tokens routed per month. The router itself is self-hosted and open source, meaning users run the routing layer locally while their provider keys stay on their own infrastructure, and the catalog data keeps the router updated with current free-model availability. The core value is convenience and cost: instead of signing up for dozens of providers to chase free quotas, developers connect one endpoint and route requests across the catalog. A premium tier exists at $19 per year or $49 once for lifetime access, which ships new free models, quota changes, and fixes to the user's router the moment they are published, unlocking around 285 models ahead of the free catalog. Billing is handled through Stripe with self-serve cancellation, and the site explicitly notes the price is tax-inclusive. The project is developed by an individual maintainer and distributed on GitHub, making it a community-driven infrastructure tool for the cost-sensitive AI development crowd. The catalog is updated continuously with a live feed, and the project documents which providers and models are currently offering free access so developers can plan their usage. For teams running production workloads, the router includes error handling and fallback behavior that keeps requests flowing when a specific provider quota is exhausted. The project's simple pricing philosophy extends to its billing, with transparent tax-inclusive pricing and no hidden fees, and the manage page allows users to control their subscription and access legacy checkout options when needed. As an open-source project, it welcomes community contributions and maintains a GitHub repository where users can inspect the routing logic, report issues, and suggest provider additions.

FreeLLMAPI Core Features
Single OpenAI-compatible key
Routes 609 models across 34 providers through one endpoint
Live catalog
Tracks free models, quotas, and availability with a real-time feed
Self-hosted router
Open-source routing layer that keeps provider keys local
7.4 billion free tokens per month
Aggregates free quotas from the supported providers
Premium fast catalog
Ships new free models, quota changes, and fixes the moment they publish
Self-serve billing
Stripe checkout with cancel-anytime subscription or lifetime option
GitHub distribution
Open-source project with community development
Provider-agnostic
Works across the catalog without per-provider integration work
Who is FreeLLMAPI for?
FreeLLMAPI is designed for developers and AI builders who want to experiment with large language models without committing to paid API budgets. Indie developers and hobbyists use it to prototype chatbots, agents, and automations using free model quotas from multiple providers through one OpenAI-compatible key. Students and researchers use the live catalog to compare model availability and quotas before choosing models for experiments. Privacy-conscious users appreciate the self-hosted router, which keeps their provider keys local and routes requests through their own infrastructure. Startups use the open-source router to reduce early-stage inference costs while testing product-market fit. Teams shipping consumer AI features use the premium tier to get new free models, quota changes, and fixes the moment they are released, keeping their applications running reliably as provider availability shifts. Technical founders evaluating model providers use the catalog as a comparison tool before committing budgets, and automation engineers wire the router into scheduled jobs that run inference at no marginal cost. Privacy-focused teams in regulated industries appreciate that their provider credentials never transit a third-party routing service. Developers building side projects use the router as their primary inference path to keep costs at zero, and technical writers and educators use the catalog data to document current free model availability for tutorials.
FreeLLMAPI Use Cases
Prototype an AI chatbot using free model quotas from multiple providers through one key
Build an agent automation that falls back across providers when one quota runs out
Run a research experiment comparing model outputs without paying for every provider
Self-host the router to keep API keys local in a privacy-sensitive deployment
Ship a consumer AI feature that needs reliable free inference during early development
Evaluate new models as they become free without waiting for quota announcements
FreeLLMAPI Pros and Cons
Pros
- Zero-cost inference through aggregated free quotas from 34 providers
- Open-source and self-hostable with provider keys kept local
- One OpenAI-compatible endpoint simplifies integration across providers
- Lifetime premium option at $49 removes recurring subscription costs
Cons
- Free quotas are provider-controlled and can change without warning
- Premium is required to get new models and fixes immediately
- Self-hosting the router requires some technical setup by the user
FAQ About FreeLLMAPI
FreeLLMAPI Pricing
Free router forever with a live catalog; Premium at $19/year or $49 one-time lifetime, billed via Stripe with tax included.
Check official pricingFree
Self-hosted open-source router, live catalog, 609 models across 34 providers
Premium Annual
Fast catalog with new models, quotas, and fixes as they ship
Premium Lifetime
Everything in Annual forever, no renewals
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