Google Vertex AI vs OpenScale

Vertex AI is Google Cloud's full AI platform with Gemini and Claude. OpenScale is a single-purpose API selling DeepSeek V4.1 Flash at low prices.

By The Subconscious Team · Updated October 11, 2026

Google Vertex AI vs OpenScale: key differences

Vertex AI offers 200+ models, including Gemini 3.8 and Claude, next to custom training on GPUs or TPUs, agent tooling, vector search and BigQuery integration. Gemini 3.8 Flash runs $0.75 in and $3.75 out per million tokens with a 1M window. OpenScale does one thing: it serves DeepSeek V4.1 Flash at $0.06 in and $0.24 out under a 50% promotion, with prepaid credits and no minimums.

Vertex fits enterprises already on Google Cloud that want governed agents close to their data. OpenScale fits developers and small teams who want the cheapest open model for coding agents without a cloud contract, and who can live with one model, one region and no SLA.

What Google Vertex AI and OpenScale 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

OpenScale

OpenScale is a Y Combinator-backed inference API built by LatentSpace and run out of Singapore. It sells open models behind one endpoint that speaks Chat Completions, the OpenAI Responses API and Anthropic Messages, so Claude Code, Codex, OpenCode, Cline, GitHub Copilot, Zed and other coding agents can point at it with a base URL and key. Its public catalog today is DeepSeek V4.1 Flash in two versions, standard and fast, both with a 1M token context window and up to 384K output tokens.

Example models: DeepSeek V4.1 Flash

Full OpenScale profile

Should you choose Google Vertex AI or OpenScale?

Google Vertex AI

Choose Google Vertex AI for

Enterprises on Google Cloud
Multimodal and long-context work on Gemini
Training and MLOps in one stack

OpenScale

Choose OpenScale for

Cheap DeepSeek V4.1 Flash with no contract
Coding agent backends
Prepaid, pay-as-you-go billing

Google Vertex AI vs OpenScale at a glance

Attribute	Google Vertex AI	OpenScale
Model access	Closed and open, 200+ models	Open weights
Flagship models	Gemini 3.8 Flash, Claude, Gemma	DeepSeek V4.1 Flash
Speed	Flash tier built for low latency	200+ tok/s; fast tier ~2x
Price	Gemini 3.8 Flash $0.75 in, $3.75 out until 2027, then $1.50/$7.50	$0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash)
Customization	Custom training on GPUs or TPUs	N/A
Deployment	Managed on Google Cloud	Serverless API
Long context	1M on Gemini 3.8 Flash	1M context

Frequently asked questions

What is the difference between Google Vertex AI and OpenScale?

Vertex AI is Google Cloud's full AI platform with Gemini and Claude. OpenScale is a single-purpose API selling DeepSeek V4.1 Flash at low prices.

When should I choose Google Vertex AI over OpenScale?

Enterprises on Google Cloud; Multimodal and long-context work on Gemini; Training and MLOps in one stack.

When should I choose OpenScale over Google Vertex AI?

Cheap DeepSeek V4.1 Flash with no contract; Coding agent backends; Prepaid, pay-as-you-go billing.

Is Google Vertex AI or OpenScale cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out until 2027, then $1.50/$7.50. OpenScale: $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.

Which has more context, Google Vertex AI or OpenScale?

Google Vertex AI: 1M on Gemini 3.8 Flash. OpenScale: 1M context.

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 OpenScale