Cloudflare Workers AI - 10,000 Free Neurons/Day

AI API Free Tiers | Amount: 10,000 Neurons/day (daily reset at 00:00 UTC) | AI-generated | 1/5 InstantSignup and get credits instantly — no credit card, no approval active
2026-02-05
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Source: https://developers.cloudflare.com/workers-ai

Description

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+ 1 Cloudflare Workers AI gives you 10,000 free Neurons per day to run AI models on Cloudflare's global edge network — no credit card required, no time limit. Neurons measure GPU compute across all model types (LLMs, image generation, embeddings, speech-to-text, text-to-speech, and more). With the free daily allowance you can generate roughly 1,300 LLM responses, 8,300 image classifications, or 12,500 embeddings. The limit resets every day at 00:00 UTC. Workers Free plan users hit a hard rate limit after 10,000 neurons; Workers Paid plan users ($5/month) get the same 10,000 free neurons plus overflow at $0.011 per 1,000 neurons.

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+ 2  

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+ 3

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+ 4  

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+ 5 Registration (Step-by-Step)

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+ 6  

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+ 7 1. Go to dash.cloudflare.com/sign-up and create a free Cloudflare account (email + password, no credit card)

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+ 8 2. Verify your email address

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+ 9 3. In the dashboard, navigate to Workers & Pages

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+ 10 4. You now have three ways to start using Workers AI:

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+ 11  

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+ 12 Option A: Dashboard (no CLI, easiest)

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+ 13 5. Click Create application and select the "LLM Chat App" template

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+ 14 6. Name your Worker and click "Create and deploy"

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+ 15 7. Your app is live on a workers.dev subdomain — click "Edit Code" to modify

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+ 16  

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+ 17 Option B: REST API (no Worker needed)

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+ 18 5. In the dashboard, go to Workers AI and click "Use REST API"

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+ 19 6. Click "Create a Workers AI API Token" — review the prefilled permissions (Workers AI - Read and Workers AI - Edit) and generate the token

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+ 20 7. Copy your Account ID from the same page

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+ 21 8. Make your first call:

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+ 22

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+ 24 -H 'Authorization: Bearer {API_TOKEN}' \

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+ 25 -d '{"prompt": "Hello, what can you do?"}'

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+ 26

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+ 27  

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+ 28 Option C: Wrangler CLI (for developers)

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+ 29 5. Install Node.js (16.17+) and run npm create cloudflare@latest

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+ 30 6. Add an [ai] binding to your wrangler.toml

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+ 31 7. Call env.AI.run() in your Worker code

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+ 32 8. Deploy with wrangler deploy

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+ 33  

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+ 34 Important:

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+ 35 • No credit card is required for the free plan

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+ 36 • Using Workers AI locally via wrangler dev still consumes your Cloudflare account's neuron quota

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+ 37 • The API token needs both Read and Edit permissions for Workers AI

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+ 38  

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+ 39

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+ 40  

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+ 41 OpenAI-Compatible API

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+ 42  

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+ 43 Workers AI supports OpenAI-compatible endpoints, so you can use the standard OpenAI SDK by swapping the base URL:

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+ 44  

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+ 45 EndpointURL

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+ 46 Chat Completionshttps://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/chat/completions

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+ 47 Text Completionshttps://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/completions

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+ 48 Embeddingshttps://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/embeddings

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+ 49  

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+ 50 All standard OpenAI parameters work: temperature, max_tokens, top_p, frequency_penalty, presence_penalty. Many models also support function calling, streaming, and batch processing.

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+ 51  

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+ 52

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+ 53  

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+ 54 Available AI Models

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+ 55  

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+ 56 Workers AI hosts 100+ open-source models across multiple task types. All models run on Cloudflare's edge GPUs — no setup, no cold starts for popular models.

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+ 57  

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+ 58 Text Generation (LLMs)

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+ 59  

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+ 60 ModelAuthorNotes

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+ 61 gpt-oss-120bOpenAIPowerful reasoning, agentic tasks, general purpose

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+ 62 gpt-oss-20bOpenAILower latency, specialized use cases

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+ 63 Llama 4 Scout 17BMetaMixture-of-experts, function calling

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+ 64 Llama 3.3 70B Instruct (FP8)MetaQuantized, batch + function calling

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+ 65 Llama 3.1 8B InstructMetaMultilingual dialogue, multiple quantizations available

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+ 66 Llama 3.2 11B VisionMetaVision + text, image reasoning

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+ 67 Qwen3 30B-A3B (FP8)QwenReasoning, instruction-following, agent capabilities

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+ 68 QwQ 32BQwenReasoning model for complex problems

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+ 69 Qwen 2.5 Coder 32BQwenCode-specialized

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+ 70 Gemma 3 12B ITGoogleMultimodal, 128K context, 140+ languages

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+ 71 Mistral Small 3.1 24BMistralVision-capable, 128K tokens

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+ 72 DeepSeek R1 Distill Qwen 32BDeepSeekDistilled reasoning model

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+ 73 Granite 4.0-H MicroIBMAgentic tasks, instruction following

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+ 74 Hermes 2 Pro Mistral 7BNous ResearchFunction calling + JSON mode

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+ 75  

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+ 76 Image Generation

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+ 77  

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+ 78 ModelAuthorNotes

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+ 79 FLUX.2 Klein 9BBlack Forest LabsEnhanced quality, generation + editing

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+ 80 FLUX.2 Klein 4BBlack Forest LabsUltra-fast distilled

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+ 81 FLUX.2 DevBlack Forest LabsHighly realistic, multi-reference support

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+ 82 FLUX.1 SchnellBlack Forest Labs12B parameter, fast generation

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+ 83 Lucid OriginLeonardoStrong prompt adherence, text rendering

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+ 84 Phoenix 1.0LeonardoCoherent text in images

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+ 85 Stable Diffusion XL LightningByteDanceLightning-fast 1024px generation

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+ 86  

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+ 87 Embeddings

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+ 88  

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+ 89 ModelAuthorNotes

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+ 90 EmbeddingGemma 300MGoogle100+ languages

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+ 91 Qwen3 Embedding 0.6BQwenText embedding and ranking

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+ 92 BGE-M3BAAIMulti-lingual, multi-granularity

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+ 93 BGE Large/Base/Small EN v1.5BAAIEnglish embeddings (384–1024 dims)

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+ 94  

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+ 95 Speech-to-Text

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+ 96  

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+ 97 ModelAuthorNotes

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+ 98 Nova 3DeepgramHigh-accuracy transcription

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+ 99 FluxDeepgramConversational speech recognition for voice agents

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+ 100 Whisper Large v3 TurboOpenAIMultilingual ASR and translation

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+ 101 Whisper / Whisper Tiny ENOpenAIGeneral-purpose speech recognition

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+ 102  

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+ 103 Text-to-Speech

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+ 104  

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+ 105 ModelAuthorNotes

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+ 106 Aura 2 (EN/ES)DeepgramContext-aware, natural pacing, real-time

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+ 107 Aura 1DeepgramNatural prosody

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+ 108 MeloTTSMyShell AIMulti-lingual TTS

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+ 109  

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+ 110 Other Tasks

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+ 111  

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+ 112 Image Classification: ResNet-50 (Microsoft)

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+ 113 Object Detection: DETR ResNet-50 (Facebook)

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+ 114 Translation: M2M-100 1.2B (Meta), IndicTrans2 (AI4Bharat)

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+ 115 Summarization: BART Large CNN (Facebook)

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+ 116 Text Classification / Reranking: BGE Reranker, DistilBERT

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+ 117 Image-to-Text: LLaVA 1.5 7B, UForm Gen2

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+ 118 Safety: Llama Guard 3 8B (prompt/response classification)

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+ 119 Voice Activity Detection: Pipecat Smart Turn v2

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+ 120  

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+ 121

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+ 122  

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+ 123 Understanding Neurons & What You Get for Free

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+ 124  

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+ 125 Neurons abstract GPU compute across model types. Here is what 10,000 neurons (one day's free allowance) roughly translates to:

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+ 126  

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+ 127 TaskApproximate Free Daily Volume

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+ 128 LLM responses (e.g., Llama 3.1 8B)~1,300 responses

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+ 129 Image classifications~8,300 classifications

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+ 130 Text embeddings~12,500 embeddings

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+ 131 Image generation (FLUX.1 Schnell, 512x512)~2,000 images

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+ 132  

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+ 133 Neuron cost varies significantly by model size. Smaller models (Llama 3.2 1B) consume far fewer neurons per request than large ones (Llama 3.3 70B or DeepSeek R1 32B). Choose your model strategically to maximize free usage.

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+ 134  

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+ 135 Per-Model Token Pricing (examples)

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+ 136  

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+ 137 ModelInput (per M tokens)Output (per M tokens)

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+ 138 Llama 3.2 1B Instruct$0.027$0.201

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+ 139 Llama 3.2 3B Instruct$0.051$0.335

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+ 140 Llama 3.1 8B Instruct (FP8)$0.045$0.384

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+ 141 Llama 3.1 70B Instruct (FP8)$0.293$2.253

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+ 142  

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+ 143

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+ 144  

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+ 145 Rate Limits

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+ 146  

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+ 147 PlanDaily NeuronsAfter LimitPer-Model Request Limit

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+ 148 Workers Free10,000Hard block (error returned)1,500–3,000 RPM depending on model

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+ 149 Workers Paid ($5/mo)10,000 free$0.011 per 1,000 additional neuronsHigher RPM limits

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+ 150  

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+ 151 The daily neuron quota resets at 00:00 UTC. Per-model rate limits (requests per minute) are separate from the neuron budget and vary by model — check the docs for each model's specific RPM cap.

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+ 152  

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+ 153

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+ 154  

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+ 155 Complementary Cloudflare Services

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+ 156  

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+ 157 Workers AI integrates with other Cloudflare developer platform products on the free plan:

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+ 158  

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+ 159 ServiceFree Tier

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+ 160 Workers (compute)100,000 requests/day, 10ms CPU time per invocation

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+ 161 Vectorize (vector database)5M stored vectors, 30M queried vectors/month

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+ 162 AI Gateway (observability)Unlimited requests — caching, rate limiting, logging, model fallback

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+ 163 D1 (SQL database)5 GB storage, 5M rows read/day

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+ 164 R2 (object storage)10 GB storage, 1M Class A ops/month

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+ 165 KV (key-value store)100,000 reads/day

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+ 166  

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+ 167 This means you can build a full-stack AI application (LLM + embeddings + vector search + storage + caching) entirely on Cloudflare's free tier.

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+ 168  

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+ 169

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+ 170  

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+ 171 Additional Tips

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+ 172  

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+ 173 No credit card required — the free plan is genuinely free with no payment info needed. The $5/month paid plan only matters if you need to exceed 10,000 neurons/day

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+ 174 LoRA support — you can bring your own fine-tuned LoRA adapters and run them on supported base models (Llama, Mistral, Gemma) at no extra cost beyond normal neuron usage

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+ 175 Edge latency — models run on Cloudflare's global network, so inference happens close to your users. Cold starts are minimal for popular models

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+ 176 AI Gateway for observability — route your requests through AI Gateway (free) to get logging, caching (avoid re-running identical prompts), and automatic retries/fallback across providers

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+ 177 Neuron tracking — monitor your usage in the Cloudflare dashboard under Workers AI analytics. The dashboard shows usage in both neurons and conventional units (tokens, seconds, images)

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+ 178 Cloudflare is transitioning pricing from neurons to per-unit pricing (tokens, audio seconds, image tiles) for clarity, but neurons remain the underlying billing metric

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+ 179 Startup / enterprise programs — Cloudflare offers a Workers Launchpad program for startups building on their platform, which may include additional credits

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+ 180 Model availability — not every model is available in every Cloudflare data center. Popular models have wider distribution; less-used models may route to fewer locations with slightly higher latency

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+ 181  

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+ 182

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+ 183  

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+ 184 Sources:

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+ 185 Workers AI Overview

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+ 186 Workers AI Pricing

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+ 188 Get Started — REST API

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