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Baseten vs Cloudflare Workers AI: Token Pricing, Speed & Intelligence

Full comparison of Baseten and Cloudflare Workers AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Baseten

Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection

Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.

Custom model deploymentFine-tuned modelsML infrastructureProduction servingOpen-weight models
Open-weight hostHosts open weights

Cloudflare Workers AI

Serverless AI inference at the edge — run LLMs in 300+ Cloudflare data centers globally

Cloudflare Workers AI runs AI inference directly on Cloudflare's global edge network across 300+ data centers, delivering ultra-low latency by processing requests close to end users. It supports a curated catalog of open-weight models including Llama 4, Mistral, Qwen3, Phi-4, and Stable Diffusion, all accessible via the Workers runtime with no cold starts. Pricing is usage-based with a generous free tier (10,000 neurons/day), making it ideal for latency-sensitive applications and edge AI use cases.

Edge AILow-latency inferenceServerless AIGlobal applicationsCost-efficient inference
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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$0.05

Cheapest output ($/1M)

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$0.34

Peak throughput

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Best latency (TTFT)

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—

Intelligence score

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Context window

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24K

Live token pricing

Basetenlive pricing

No live pricing data available.

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ModelInputOutput
llama-3.3-70b-instruct-fp8-fast$0.29EST Oct 2026$2.25
llama-4-scout-17b-16e$0.27EST Oct 2026$0.85
gpt-oss-120b$0.35EST Oct 2026$0.75
gpt-oss-20b$0.20EST Oct 2026$0.30
mistral-small-3.1-24b$0.35EST Oct 2026$0.56

Strengths and weaknesses

Baseten

Full control over model serving: custom preprocessing, postprocessing, and business logic
Bring your own weights — deploy any HuggingFace model or custom fine-tune
GPU selection: H100, A100, A10G, T4 with per-second billing
Autoscaling including scale-to-zero for cost efficiency
Truss open-source packaging format for reproducible model deployments
More setup required than managed APIs — not a drop-in OpenAI replacement
Cold starts on scale-to-zero deployments (configurable warm pool available)
Pricing is higher than shared inference APIs for low-volume workloads

Cloudflare Workers AI

Edge inference across 300+ global data centers — lowest latency for geographically distributed users
No cold starts — inference runs on persistent GPU capacity at the edge
Free tier: 10,000 neurons/day (roughly 10M tokens/day on small models)
Native integration with Cloudflare Workers, Pages, and D1 database
No infrastructure management — fully serverless
Limited model catalog vs. Together AI or OpenRouter — curated selection only
No support for frontier proprietary models (GPT-6, Claude 5)
Neurons-based pricing is opaque — hard to predict costs for large workloads

Key differentiators

Baseten

The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.

Cloudflare Workers AI

An AI inference platform running on a global CDN edge network — 300+ data centers enable low-latency inference for users worldwide without managing any GPU infrastructure.

Frequently asked questions

Baseten FAQs

What is Baseten?

Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.

How does Baseten differ from Together AI or Replicate?

Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.

What GPUs does Baseten support?

Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.

Cloudflare Workers AI FAQs

What is Cloudflare Workers AI?

Cloudflare Workers AI is a serverless AI inference platform that runs open-weight models on Cloudflare's global edge network across 300+ data centers. It delivers ultra-low latency by processing AI requests close to end users.

What models does Cloudflare Workers AI support?

Workers AI supports a curated catalog of open-weight models including Llama 4, Mistral 7B, Qwen3, Phi-4, and image generation models like Stable Diffusion. The catalog is smaller than Together AI but covers the most popular open-weight models.

How does Cloudflare Workers AI pricing work?

Workers AI uses a "neurons" pricing model. The free tier includes 10,000 neurons/day. Paid usage is billed per neuron, with cost varying by model size. Check developers.cloudflare.com/workers-ai/platform/pricing for current rates.

Provider resources

Key strengths compared

Baseten

  • Full control over model serving: custom preprocessing, postprocessing, and business logic
  • Bring your own weights — deploy any HuggingFace model or custom fine-tune
  • GPU selection: H100, A100, A10G, T4 with per-second billing
  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)

Cloudflare Workers AI

  • Edge inference across 300+ global data centers — lowest latency for geographically distributed users
  • No cold starts — inference runs on persistent GPU capacity at the edge
  • Free tier: 10,000 neurons/day (roughly 10M tokens/day on small models)
  • Limited model catalog vs. Together AI or OpenRouter — curated selection only
  • No support for frontier proprietary models (GPT-6, Claude 5)

Key weaknesses compared

Baseten

  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)
  • Pricing is higher than shared inference APIs for low-volume workloads

Cloudflare Workers AI

  • Limited model catalog vs. Together AI or OpenRouter — curated selection only
  • No support for frontier proprietary models (GPT-6, Claude 5)
  • Neurons-based pricing is opaque — hard to predict costs for large workloads

Provider category context

Baseten is a inference api, founded in 2019. Cloudflare Workers AI is a inference api, founded in 2023. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Baseten and Cloudflare Workers AI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.