Cloudflare Workers AI vs Telnyx: Token Pricing, Speed & Intelligence
Full comparison of Cloudflare Workers AI and Telnyx — 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.
Telnyx
OpenAI-compatible inference API — GLM-5.3, Kimi, DeepSeek, MiniMax
Telnyx Inference API provides OpenAI-compatible access to a curated set of open-weight and frontier models including GLM-5.3 Flash, Kimi K2.6, DeepSeek V4 Flash, and MiniMax-M3. PAYG pricing with no minimum spend. Telnyx is primarily known as a communications platform; the inference API is a newer addition to their product suite.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Cloudflare Workers AI
Telnyx
Key differentiators
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.
OpenAI-compatible inference API from a communications platform, with competitive rates on GLM-5.3 Flash and DeepSeek V4 Flash.
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.
Telnyx FAQs
What models does Telnyx Inference API offer?
As of October 2026: GLM-5.3 Flash ($0.135/$0.45 per 1M tokens, cached $0.027), Kimi K2.6 ($0.665/$4.00), DeepSeek V4 Flash ($0.130/$0.260), and MiniMax-M3 ($0.270/$1.100). All are OpenAI-compatible. See telnyx.com/pricing/inference-api for current rates.
Is Telnyx Inference API OpenAI-compatible?
Yes. Telnyx provides an OpenAI-compatible REST API, so you can use it as a drop-in replacement in any application that supports custom base URLs.
Does Telnyx offer prompt caching?
Yes, on GLM-5.3 Flash. Cached input tokens are billed at $0.027/1M vs $0.135/1M 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.
Telnyx — OpenAI-compatible inference API — GLM-5.3, Kimi, DeepSeek, MiniMax
Telnyx Inference API provides OpenAI-compatible access to a curated set of open-weight and frontier models including GLM-5.3 Flash, Kimi K2.6, DeepSeek V4 Flash, and MiniMax-M3. PAYG pricing with no minimum spend. Telnyx is primarily known as a communications platform; the inference API is a newer addition to their product suite.
OpenAI-compatible inference API from a communications platform, with competitive rates on GLM-5.3 Flash and DeepSeek V4 Flash.
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)
Telnyx
- OpenAI-compatible API — drop-in replacement for existing integrations
- Competitive pricing on GLM-5.3 Flash and DeepSeek V4 Flash
- PAYG with no minimum spend
- Smaller model catalog vs major inference hubs
- Inference is a secondary product — communications is the core business
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
Telnyx
- Smaller model catalog vs major inference hubs
- Inference is a secondary product — communications is the core business
- Limited benchmark transparency vs dedicated inference providers
Provider category context
Cloudflare Workers AI is a inference api, founded in 2023. Telnyx is a inference api, founded in 2009. 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 Telnyx 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.