Google Vertex AI vs Cloudflare Workers AI

Vertex AI is a full enterprise AI stack with Gemini, Claude and custom training. Cloudflare Workers AI is a lighter serverless catalog of open models billed in Neurons.

By The Subconscious Team · Updated September 30, 2026

Google Vertex AI vs Cloudflare Workers AI: key differences

Scope is the main difference. Vertex AI, rebranded in April 2026 as the Gemini Enterprise Agent Platform, offers 200+ models in Model Garden, including Gemini 3.8 Flash at $0.75 in and $3.75 out with a 1M context, Anthropic's Claude and open Gemma. Around them sit custom training on GPUs or TPUs, pipelines, a feature store, evaluation, vector search and BigQuery integration. Cloudflare's catalog is 50+ open models, such as DeepSeek V4 Pro with a 1M context at $1.32 in and $3.96 out and gpt-oss 120B at $0.35 in and $0.75 out. Customization on Cloudflare stops at bring-your-own LoRA on smaller models, in beta. Vertex can train a model from scratch.

Agent tooling exists on both. Vertex has Agent Studio, the Agent Development Kit, a managed runtime with Memory Bank and Agent2Agent support. Cloudflare has the Agents SDK running beside Workers code and storage, with AI Gateway for caching, retries and fallbacks. Pricing is where Cloudflare is easier: one Neuron rate at $0.011 per 1,000, published per-token equivalents and 10,000 free Neurons a day. Vertex pricing is split across every service and hard to forecast, and its pipelines and registries create real lock-in, though new accounts get up to $300 in credits. Enterprises on Google Cloud that need governance and Gemini should pick Vertex. Small teams shipping open-model features on Workers will move faster on Cloudflare.

What Google Vertex AI and Cloudflare Workers AI do

Google Vertex AI

Vertex AI is Google Cloud's enterprise AI platform. At Google Cloud Next on April 22, 2026, Google rebranded it the Gemini Enterprise Agent Platform with an agent-first structure, though the API endpoint and most docs still say Vertex. Model Garden offers 200+ models, including Google's Gemini 3.8 family, Anthropic's Claude models and open models like Gemma, alongside Imagen, Veo and Chirp for media and speech. Google's own TPUs sit underneath much of its first-party serving.

Example models: Gemini 3.8, Claude

Full Google Vertex AI profile

Cloudflare Workers AI

Workers AI is the serverless GPU inference service of Cloudflare, which was founded in 2009. It launched in September 2023 and reached general availability in April 2024. Models run on GPUs inside Cloudflare's own network and are called from a Worker through an AI binding or over REST, including OpenAI-compatible Chat Completions and Embeddings endpoints plus a Responses endpoint for gpt-oss. The catalog lists 50+ open models. Since Kimi K2.5 arrived in March 2026 it has carried frontier-scale LLMs: Kimi K2.6 and K2.7 Code, GLM 5.2 and 5.3, DeepSeek V4 Pro and Flash, gpt-oss 120B and 20B, Qwen 3.8 27B and Llama 4 Scout. DeepSeek V4, added August 14, 2026, was the first to offer the full 1,048,576 token context.

Example models: DeepSeek V4 Pro, GLM 5.3

Full Cloudflare Workers AI profile

Should you choose Google Vertex AI or Cloudflare Workers AI?

Google Vertex AI

Choose Google Vertex AI for

Enterprises on Google Cloud needing governed agents
Gemini and Claude beside custom GPU or TPU training
Keeping models close to BigQuery data

Cloudflare Workers AI

Choose Cloudflare Workers AI for

Predictable per-token pricing without a sprawling bill
Open-model features shipped from Workers code
Prototyping on a daily free allocation

Google Vertex AI vs Cloudflare Workers AI at a glance

Attribute	Google Vertex AI	Cloudflare Workers AI
Model access	Closed and open, 200+ models	Open weights
Flagship models	Gemini 3.8 Flash, Claude, Gemma	DeepSeek V4 Pro, GLM 5.3, Kimi K2.7 Code, gpt-oss 120B
Speed	Flash tier built for low latency	Unknown
Price	Gemini 3.8 Flash $0.75 in, $3.75 out	$0.011 per 1K Neurons; 10K free daily
Customization	Custom training on GPUs or TPUs	BYO LoRA on small models (beta)
Deployment	Managed on Google Cloud	Serverless on Cloudflare network
Long context	1M on Gemini 3.8 Flash	1M on DeepSeek V4; 262K on Kimi

Frequently asked questions

What is the difference between Google Vertex AI and Cloudflare Workers AI?

Vertex AI is a full enterprise AI stack with Gemini, Claude and custom training. Cloudflare Workers AI is a lighter serverless catalog of open models billed in Neurons.

When should I choose Google Vertex AI over Cloudflare Workers AI?

Enterprises on Google Cloud needing governed agents; Gemini and Claude beside custom GPU or TPU training; Keeping models close to BigQuery data.

When should I choose Cloudflare Workers AI over Google Vertex AI?

Predictable per-token pricing without a sprawling bill; Open-model features shipped from Workers code; Prototyping on a daily free allocation.

Is Google Vertex AI or Cloudflare Workers AI cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out. Cloudflare Workers AI: $0.011 per 1K Neurons; 10K free daily. The cheaper choice depends on the model and workload.

Which has more context, Google Vertex AI or Cloudflare Workers AI?

Google Vertex AI: 1M on Gemini 3.8 Flash. Cloudflare Workers AI: 1M on DeepSeek V4; 262K on Kimi.

Related comparisons

Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

Subconscious vs Google Vertex AI Subconscious vs Cloudflare Workers AI