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Cloudflare Workers AI vs Replicate vs Together AI: Best AI Inference Platform (2026)

Running AI models without managing GPUs is the promise of inference platforms. In 2026, three stand out for different reasons: Cloudflare Workers AI (edge-native, integrated), Replicate (model marketplace, easy), and Together AI (open-source focused, fast).

Quick Comparison

FeatureWorkers AIReplicateTogether AI
FocusEdge inferenceModel marketplaceOpen-source model hosting
Models~50 curated1000s (community)100+ open-source
Custom modelsNoYes (push any model)Fine-tuning available
LatencyLowest (edge)VariableLow (dedicated GPUs)
GPU optionsAbstractedA40, A100, H100A100, H100
StreamingYesYesYes
Free tier10K neurons/dayNone (pay-per-use)$1 free credit
Pricing modelPer neuron/tokenPer second of computePer token/second

Cloudflare Workers AI

Workers AI runs AI models on Cloudflare's edge network. It's designed for low-latency inference without managing any infrastructure.

Strengths

  • Edge deployment. Models run close to users across Cloudflare's global network. Lowest latency of the three.
  • Integrated ecosystem. Combine with Workers, KV, R2, D1, and Vectorize in a single platform. Build entire AI applications within Cloudflare.
  • Simple pricing. Pay per "neuron" (roughly proportional to tokens). Predictable and cheap.
  • Free tier. 10,000 neurons/day free — enough for development and small projects.
  • No cold starts for popular models. Frequently used models are always warm on the edge.
  • Embeddings + Vector search. Workers AI embeddings + Vectorize = full RAG pipeline within Cloudflare.

Weaknesses

  • Limited model selection. ~50 curated models. No custom model uploads.
  • No fine-tuning. Can't train or fine-tune models on the platform.
  • Smaller models only. Edge hardware can't run the largest models (70B+ parameter limits).
  • Less flexibility. You use what Cloudflare provides.
  • Vendor lock-in. Tightly coupled with Cloudflare's ecosystem.

Best For

Applications already on Cloudflare that need fast, cheap AI inference (text generation, embeddings, image classification). Perfect for adding AI features to existing Workers applications.

Replicate

Replicate is a marketplace for running AI models via API. Anyone can publish models, and anyone can run them.

Strengths

  • Massive model library. Thousands of models: LLMs, image generation, video, audio, 3D. The largest selection of any inference platform.
  • Custom models. Push your own models using Cog (Docker-based packaging). Run any model on Replicate's GPUs.
  • Community models. Use the latest open-source models (Flux, Llama, Whisper, etc.) the day they're released.
  • Simple API. Run any model with a few lines of code. No GPU configuration.
  • Streaming and webhooks. Real-time output streaming and webhook callbacks for async tasks.
  • Predictions API. Unified interface regardless of model type.

Weaknesses

  • Cold starts. Unpopular models can have 10-30 second cold starts (GPU allocation).
  • Per-second pricing. Costs can surprise you — a GPU second costs $0.000225-$0.0023 depending on hardware.
  • Variable latency. Depends on model popularity and GPU availability.
  • No free tier. Pay from the first prediction (though costs are low).
  • Less optimized. General-purpose hosting means models may run slower than purpose-optimized platforms.

Best For

Developers who need access to diverse model types (image, video, audio, 3D) or want to deploy custom models without managing infrastructure.

Together AI

Together AI focuses on running open-source models with optimized performance. They're the fastest inference platform for popular open-source LLMs.

Strengths

  • Fastest inference. Optimized kernels and custom serving infrastructure for open-source models. Consistently benchmarks fastest for Llama, Mixtral, and other popular models.
  • Fine-tuning. Fine-tune Llama, Mistral, and other models directly on the platform. Serve your fine-tuned model instantly.
  • Competitive pricing. Often the cheapest per-token pricing for open-source LLMs.
  • Embeddings. Fast embedding models for RAG pipelines.
  • OpenAI-compatible API. Drop-in replacement for OpenAI's API. Switch with one line of code.
  • Dedicated endpoints. Reserve GPU capacity for consistent performance.

Weaknesses

  • LLM-focused. Less variety for non-text models (some image models, but not the breadth of Replicate).
  • No custom model deployment. Only models Together supports (though the list is comprehensive).
  • Newer platform. Less battle-tested than Replicate.
  • Limited free tier. $1 in free credits, then pay-per-use.

Best For

Applications that need fast, cheap inference of open-source LLMs. Teams fine-tuning open-source models. Anyone looking for an OpenAI API drop-in replacement with open-source models.

Pricing Comparison

Text Generation (Llama 3 70B equivalent)

PlatformPrice (per 1M tokens)Notes
Workers AI~$0.50-1.00Neuron-based pricing
Replicate~$1.50-3.00Per-second GPU billing
Together AI~$0.90Per-token pricing
OpenAI GPT-4o$2.50-10.00For reference

Image Generation (SDXL/Flux equivalent)

PlatformPrice per image
Workers AI~$0.01
Replicate~$0.02-0.05
Together AI~$0.02

Embeddings

PlatformPrice (per 1M tokens)
Workers AI~$0.01
Together AI~$0.01
OpenAI$0.02-0.13

Workers AI and Together AI are the most cost-effective for embeddings.

Use Case Matrix

Use CaseBest ChoiceWhy
Add AI to Cloudflare appWorkers AINative integration, zero setup
Run latest Stable Diffusion modelsReplicateWidest model selection
Fast LLM inference (production)Together AIOptimized performance + pricing
Custom ML model hostingReplicateCog packaging for any model
RAG pipelineWorkers AI or Together AIEmbeddings + fast retrieval
Fine-tuned LLM servingTogether AIFine-tune + serve on same platform
Audio transcriptionReplicateWhisper + community models
Video generationReplicateOnly platform with diverse video models
OpenAI replacementTogether AICompatible API, open-source models

FAQ

Can I switch between these platforms easily?

For LLMs: Together AI's OpenAI-compatible API makes switching trivial. Workers AI and Replicate have their own APIs but the concepts are similar.

Which has the most reliable uptime?

Cloudflare Workers AI benefits from Cloudflare's infrastructure reliability. Together AI and Replicate have had occasional capacity issues during peak demand.

Do I need my own GPU for any of these?

No. All three are fully managed — you pay per use and never touch GPU infrastructure.

Can I run models locally instead?

Yes — Ollama, vLLM, and LocalAI let you run models on your own hardware. But managed platforms are simpler and often cheaper until you need sustained, high-volume inference.

The Verdict

  • Workers AI for Cloudflare-native apps and the simplest integration. Best free tier.
  • Replicate for model variety and custom model deployment. Best marketplace.
  • Together AI for production LLM inference. Fastest, cheapest, and OpenAI-compatible.

For most developers building AI features in 2026: use Together AI for LLM inference (fast + cheap + compatible API) and Replicate when you need non-text models or community model access.

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