@xiaomovps: You can really max out Cloudflare's free AI infrastructure as an individual developer. Free tiers for models, APIs, storage, and gateway — and no credit card required to get started. 1、Workers AI | 10,000 Neurons per day

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Summary

The article covers Cloudflare's free AI infrastructure for individual developers, including Workers AI, OpenAI-compatible APIs, AI Gateway, AI Search, and Workers/R2 — along with their free-tier limits and usage restrictions. It also notes that some newer models now require a payment method on file.

Cloudflare's free AI infrastructure — individual developers can really max this out🔥 Free tiers for models, APIs, storage, and gateway — and most importantly, no credit card needed to start using it 1、Workers AI | 10,000 Neurons per day Resets daily at 8 AM Beijing time. If you use it all on a single model: glm-4.7-flash can generate about 270k output tokens qwen3-30b-a3b about 330k, flux image generation about 170 images, whisper transcription about 214 minutes. Once the free tier is used up, you get an error for the rest of the day — no charges 2、OpenAI-compatible API Supports chat/completions and embeddings. Any tool where you can change the base_url can connect in theory. The LLM backend of XiaoZhi can also connect directly 3、AI Gateway | Dashboard, caching, and rate limiting all free Route all model calls through a gateway layer — clear usage visibility, and repeated requests can hit the cache to save quota 4、AI Search | 5M tokens ingestion per month, 10GB storage Comes with a built-in RAG knowledge base, but starting 11/1 overages are no longer free — don't treat it as unlimited 5、Workers and R2 | 100k requests per day, 10GB storage per month Great for agent backends and file storage. R2 egress traffic is free Note that GLM-5.x, Kimi K2.6/2.7, and DeepSeek V4 now require a payment method on file to call The July trick of running GLM-5.2 for free no longer works. Direct connections from within China are also unstable — calling from overseas servers is more reliable The top-tier LLMs are now paid, but when it comes to the supporting infrastructure, Cloudflare is still the most cost-effective place for individuals building AI applications The title of "Cyber Great Philanthropist" is truly well deserved👍
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Cloudflare’s Free AI Infrastructure — Individual Developers Can Really Max It Out 🔥

Models, APIs, storage, gateways — the full stack comes with free quotas, and the best part is you don’t even need to link a credit card to get started.

1. Workers AI — 10,000 Neurons Per Day

Resets at 8 AM Beijing time daily. If you spend it all on a single model, glm-4.7-flash can generate around 270,000 output tokens. qwen3-30b-a3b gets you about 330,000. Flux image generation gives you roughly 170 images. Whisper transcription covers about 214 minutes. Once the free tier runs out, you’ll get an error for the rest of the day — no unexpected charges.

2. OpenAI-Compatible API

Supports chat/completions and embeddings. Anything that lets you change the base_url can theoretically connect. The LLM backend of XiaoZhi (小智) server can plug right in too.

3. AI Gateway — Dashboard, Caching, and Rate Limiting All Free

Route all model calls through a gateway layer to see your usage clearly. Duplicate requests can hit the cache to save quota.

4. AI Search — 5 Million Tokens Ingested Per Month, 10GB Storage

Comes with a built-in RAG knowledge base, but starting 11/1, anything beyond the quota will be charged. Don’t treat it as unlimited.

5. Workers & R2 — 100K Requests Per Day, 10GB Storage Per Month

Great for agent backends and file storage. R2 egress traffic is free.


A few things to watch out for: GLM-5.x, Kimi K2.6/2.7, and DeepSeek V4 now all require a linked payment method to call. The July hack of running GLM-5.2 for free no longer works. Direct connections from mainland China are also unstable — calling from an overseas server is much more reliable.

The flagship LLM tier has gone paid, but when it comes to supporting infrastructure, Cloudflare is still the most cost-effective place for individuals building AI applications.

Guess the title of “Cyber Great Philanthropist” is well-deserved 👍

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