A curated, automatically updated list of legitimate free LLM API resources and their associated limits. Developers and researchers can use it to discover available models and rate limits from providers offering free access or trial credits.
Project overview
A curated, automatically updated list of legitimate free LLM API resources and their associated limits. Developers and researchers can use it to discover available models and rate limits from providers offering free access or trial credits.
Project type
Infrastructure
Deployment
Refer to project documentation
License
License pending
Best for
Developers and researchers seeking a regularly updated reference of legitimate free LLM API providers, models, and rate limits.
Key capabilities
Maintains a categorized list of free LLM API resources, including free providers and providers with trial credits, detailing their rate limits and specific available models.
Uses a Python script to automatically generate the list, helping ensure the provided models and limits are up to date.
Limitations and risks
Users must not abuse the free services or access might be revoked by the provider.
Models offered by these free services tend to have limited context windows.
The input and output token limits on these free tiers can be extremely restrictive.
Inference is generally limited to models smaller than 10GB, though some popular models exceeding this size are supported.
Data submitted to some providers may be used for training, particularly when used outside specific regions or on free tiers.
Getting started
Setup is easy and requires no coding. Users can achieve first success by reading the README.md file to view the list of providers, available models, and limits.
Evidence and sources
README: WARNING: DO NOT EDIT THIS FILE DIRECTLY. IT IS GENERATED BY src/pull_available_models.py
README: This lists various services that provide free access or credits towards API-based LLM usage. > [!NOTE] > Please don't abuse these services, else we might lose them. > [!WARNING] >…
README: Models share a common quota.
README: Data is used for training when used outside of the UK/CH/EEA/EU.
README: Phone number verification required. Models tend to be context window limited.
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