Google Vertex AI vs Cerebras

Vertex AI is a wide enterprise platform on Google Cloud. Cerebras is the fastest public inference host, with a two-model shared catalog and speed that matters when generation is the wait.

By The Subconscious Team · Updated September 30, 2026

Google Vertex AI vs Cerebras: key differences

Cerebras and Vertex AI compete on different ground. Cerebras builds a wafer-scale chip, and its developer table lists GPT-OSS 120B near 3,000 tokens per second at $0.35 in and $0.75 out per million. Its shared catalog, though, is just GPT-OSS 120B and Gemma 4 31B, with other models behind dedicated endpoints or partners like OpenRouter and AWS Marketplace. Vertex AI offers 200+ models, Gemini 3.8 and Claude among them, plus media models like Veo and Imagen. Gemma shows up on both, but the reasons to pick each barely overlap.

Pick by where time goes in the workload. When an agent spends most of its time generating long outputs, or a user watches tokens stream in a voice or autocomplete UI, Cerebras's speed is the product. When the agent mostly waits on tools, retrieval or hidden reasoning, that speed does little, and the platform around the model matters more. Vertex's strengths there are Agent Studio, ADK, Memory Bank, BigQuery and custom training. Its weaknesses are fragmented pricing and Vertex-native lock-in. Cerebras's weakness is a catalog so thin that most models mean a sales conversation.

What Google Vertex AI and Cerebras 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

Cerebras

Cerebras builds a single chip the size of a silicon wafer, and its inference cloud is the fastest public host on the models it serves. Its developer table lists GPT-OSS 120B near 3,000 tokens per second, about six times Groq on the same weights, at $0.35 in and $0.75 out per million. The public shared catalog is thin, just GPT-OSS 120B and Gemma 4 31B as of August 2026. More model families live on dedicated endpoints and through partners like OpenRouter, Hugging Face, Vercel and AWS Marketplace.

Example models: GPT-OSS 120B, Gemma 4 31B

Full Cerebras profile

Should you choose Google Vertex AI or Cerebras?

Google Vertex AI

Choose Google Vertex AI for

Choosing among 200+ closed and open models
Agents that lean on BigQuery and managed memory
Image, video and speech generation next to text

Cerebras

Choose Cerebras for

Streaming UIs and voice where generation is the bottleneck
Long outputs on GPT-OSS 120B at very high speed
The fastest published tokens per second on open weights

Google Vertex AI vs Cerebras at a glance

Attribute	Google Vertex AI	Cerebras
Model access	Closed and open, 200+ models	Open weights
Flagship models	Gemini 3.8 Flash, Claude, Gemma	GPT-OSS 120B, Gemma 4 31B
Speed	Flash tier built for low latency	~3,000 tok/s on GPT-OSS 120B
Price	Gemini 3.8 Flash $0.75 in, $3.75 out	$0.35 in, $0.75 out (GPT-OSS 120B)
Customization	Custom training on GPUs or TPUs	Unknown
Deployment	Managed on Google Cloud	Shared API, dedicated, partners
Long context	1M on Gemini 3.8 Flash	Unknown

Frequently asked questions

What is the difference between Google Vertex AI and Cerebras?

Vertex AI is a wide enterprise platform on Google Cloud. Cerebras is the fastest public inference host, with a two-model shared catalog and speed that matters when generation is the wait.

When should I choose Google Vertex AI over Cerebras?

Choosing among 200+ closed and open models; Agents that lean on BigQuery and managed memory; Image, video and speech generation next to text.

When should I choose Cerebras over Google Vertex AI?

Streaming UIs and voice where generation is the bottleneck; Long outputs on GPT-OSS 120B at very high speed; The fastest published tokens per second on open weights.

Is Google Vertex AI or Cerebras cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out. Cerebras: $0.35 in, $0.75 out (GPT-OSS 120B). The cheaper choice depends on the model and workload.

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 Cerebras