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Cloudflare Workers AI vs SambaNova Cloud: Token Pricing, Speed & Intelligence

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

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

SambaNova Cloud

High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama

SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.

High-throughput inferenceCost-sensitive workloadsOpen-weight models
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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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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Live token pricing

Strengths and weaknesses

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

SambaNova Cloud

Proprietary RDU chips deliver very high throughput — 800+ tokens/sec on gpt-oss-120b
Competitive pricing on gpt-oss-120b ($0.22/$0.59 per 1M)
Prompt caching on GLM-5.3 (cached input at $0.14/1M)
Strong open-weight model catalog: Llama, DeepSeek, Gemma, MiniMax
Smaller model catalog vs OpenRouter or Together AI
No proprietary frontier models — inference-only platform
RDU architecture may behave differently from GPU inference for some workloads

Key differentiators

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.

SambaNova Cloud

Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.

Frequently asked questions

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.

SambaNova Cloud FAQs

What makes SambaNova Cloud different?

SambaNova runs inference on its own Reconfigurable Dataflow Unit (RDU) chips rather than NVIDIA GPUs. This delivers very high throughput — over 800 tokens/sec on gpt-oss-120b — at competitive per-token rates.

What models does SambaNova Cloud offer?

As of October 2026: gpt-oss-120b ($0.22/$0.59), GLM-5.3 ($1.40/$4.40, cached $0.14), MiniMax-M3 ($0.60/$2.40, cached $0.06), DeepSeek-V3.2 ($3.00/$4.50), Meta-Llama-3.3-70B ($0.60/$1.20), and Gemma 4 31B ($0.38/$1.15). See cloud.sambanova.ai/plans/pricing for current rates.

Does SambaNova offer prompt caching?

Yes, on GLM-5.3 (cached input $0.14/1M vs $1.40/1M standard) and MiniMax-M3 (cached input $0.06/1M vs $0.60/1M standard).

Provider resources

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.

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.

SambaNova Cloud — High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama

SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.

Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.

Key strengths compared

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)

SambaNova Cloud

  • Proprietary RDU chips deliver very high throughput — 800+ tokens/sec on gpt-oss-120b
  • Competitive pricing on gpt-oss-120b ($0.22/$0.59 per 1M)
  • Prompt caching on GLM-5.3 (cached input at $0.14/1M)
  • Smaller model catalog vs OpenRouter or Together AI
  • No proprietary frontier models — inference-only platform

Key weaknesses compared

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

SambaNova Cloud

  • Smaller model catalog vs OpenRouter or Together AI
  • No proprietary frontier models — inference-only platform
  • RDU architecture may behave differently from GPU inference for some workloads

Provider category context

Cloudflare Workers AI is a inference api, founded in 2023. SambaNova Cloud is a inference api, founded in 2017. 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 Cloudflare Workers AI and SambaNova Cloud 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.