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AI API2026
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Free LLM API Keys

Provides short-lived, copy-pasteable API tokens that let developers access 90+ LLMs (GPT‑5.5, Claude, Gemini, Grok, etc.) without a credit card or registration. Keys are refreshed multiple times daily, each carries a $20–$100 budget and expires in 24–48 hours. Works with any OpenAI-compatible client via a single base URL.

Introduction

Why this matters

Many modern LLMs are locked behind paid accounts or regional restrictions; that friction blocks students, hobbyists, and small experiments. This repo publishes platform-issued, OpenAI-compatible API tokens on a rolling basis so builders can prototype across dozens of providers without payment setup — at the cost of ephemeral availability and no SLA.

What Sets It Apart
  • Single, OpenAI-compatible integration point — all keys work through one base URL so tools that accept a custom OpenAI endpoint (playgrounds, local clients, third-party apps) can switch providers with one token. So what: you can test multiple foundation models without rewriting integration code.

  • Frequent automated key drops and verification — the server cron publishes fresh keys multiple times per day and offers a one-click verification page. So what: short-lived keys are easy to find and validate quickly, reducing time wasted on expired tokens.

  • Budgeted, non-production tokens — each token usually carries a modest budget ($20–$100) and 24–48h lifetime. So what: great for demos and experiments but unsuitable for steady production traffic or privacy-critical workloads.

Who It's For & Trade-offs

Great fit if you need low-friction access to try many models, validate multi-provider behavior, teach classes, or build small demos where occasional interruption is acceptable. It’s particularly helpful when provider access is limited by region or payment requirements.

Look elsewhere if you require production availability, consistent latency, guaranteed privacy (tokens are shared), or legal/compliance guarantees — commercial provider contracts or your own paid account are the right choice.

Where It Fits

Use this repo as a rapid experimentation layer: prototype prompts, compare model outputs, evaluate embeddings or TTS, and integrate with OpenAI-compatible apps (set base_url + key). Treat keys as disposable test assets and prefer dedicated paid credentials for ongoing services.

Information

  • Websitegithub.com
  • Authorsalistaitsacle
  • Published date2026/03/23

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