Google Vertex AI vs DeepInfra

An enterprise hyperscaler platform against the price floor for open models. Vertex sells governance and Gemini; DeepInfra sells cheap tokens on 150+ open models with no minimums.

By The Subconscious Team · Updated September 30, 2026

Google Vertex AI vs DeepInfra: key differences

DeepInfra is where many developers check what a token should cost. Llama 3.1 8B runs $0.02 per million and DeepSeek V4 Flash $0.14 in and $0.28 out, across 150+ open models with no minimums, setup fees or contracts. Vertex AI sits at the other end of the buying process. It is a Google Cloud platform with Gemini 3.8, Claude, Gemma and media models, where pricing is usage-based and split across services, and where training, pipelines, vector search and governance come bundled. One is a cheap endpoint. The other is an enterprise program.

The trade-offs are quality controls and customization. DeepInfra reaches its price partly through quantization: its FP4 DeepSeek V4 Pro caps context at 66K, and some reviewers report weaker output unless they pin FP8 variants. It also has no managed fine-tuning. Vertex offers custom training on GPUs or TPUs and runs much of Google's first-party serving on TPUs, at the cost of lock-in and hard-to-forecast bills. Bulk extraction, tagging and synthetic data fit DeepInfra. Governed agents over enterprise data fit Vertex.

What Google Vertex AI and DeepInfra 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

DeepInfra

DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out. The catalog covers 150+ open models across text, image and speech behind a fully OpenAI-compatible API. There are no minimums, setup fees or contracts on the shared API.

Example models: DeepSeek V4 Flash, Llama 3.1 8B

Full DeepInfra profile

Should you choose Google Vertex AI or DeepInfra?

Google Vertex AI

Choose Google Vertex AI for

Governed production agents over BigQuery data
Gemini and Claude with Google Cloud controls
Custom training alongside inference

DeepInfra

Choose DeepInfra for

Cost-first bulk jobs like tagging and synthetic data
Cheap open-model backends with no contract
Quick access to new Hugging Face releases

Google Vertex AI vs DeepInfra at a glance

Attribute	Google Vertex AI	DeepInfra
Model access	Closed and open, 200+ models	Open weights
Flagship models	Gemini 3.8 Flash, Claude, Gemma	DeepSeek V4 Flash, Llama 3.1 8B
Speed	Flash tier built for low latency	~33 tok/s on DeepSeek V4 Pro (FP4)
Price	Gemini 3.8 Flash $0.75 in, $3.75 out	From $0.02 per 1M
Customization	Custom training on GPUs or TPUs	No managed fine-tuning
Deployment	Managed on Google Cloud	Shared API, no contracts
Long context	1M on Gemini 3.8 Flash	66K on FP4 DeepSeek V4 Pro

Frequently asked questions

What is the difference between Google Vertex AI and DeepInfra?

An enterprise hyperscaler platform against the price floor for open models. Vertex sells governance and Gemini; DeepInfra sells cheap tokens on 150+ open models with no minimums.

When should I choose Google Vertex AI over DeepInfra?

Governed production agents over BigQuery data; Gemini and Claude with Google Cloud controls; Custom training alongside inference.

When should I choose DeepInfra over Google Vertex AI?

Cost-first bulk jobs like tagging and synthetic data; Cheap open-model backends with no contract; Quick access to new Hugging Face releases.

Is Google Vertex AI or DeepInfra cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out. DeepInfra: From $0.02 per 1M. The cheaper choice depends on the model and workload.

Which has more context, Google Vertex AI or DeepInfra?

Google Vertex AI: 1M on Gemini 3.8 Flash. DeepInfra: 66K on FP4 DeepSeek V4 Pro.

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 DeepInfra