OpenAI compatible API · Attested · Public status

Google Vertex AI

Explore Google Vertex AI models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.

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Google Vertex AIgoogle-vertex

ZDR · TR-funded

All providers

These privacy labels describe Google Vertex AI, the upstream model provider. Confidential requires all three: verified provider compute, end-to-end encryption and explicit zero data retention. Account and billing metadata are outside the content-retention claim.

Provider	Google Vertex AI
API operator country	US Legal home of the API operator, not an inference-location guarantee.
Headquarters	Not verified
Routing status	Active
Provider website	https://cloud.google.com/vertex-ai
Models	12 public models
Credits routes	12
Zero data retention	yes TR-funded routes
Verified confidential inference	Not verified
Policy note	TrustedRouter's managed Vertex AI account is covered by contractual Zero Data Retention. This guarantee applies only to TrustedRouter-funded routes. TrustedRouter does not invoke Google Search or Maps grounding or Gemini Live session resumption on these routes. Google AI Studio is classified separately. Policy source

Inference locations

Provider API declarations are also available on each model's endpoint API. Direct chat and Responses replies separate advertised availability from serving location in usage.inference_location; the actual serving region remains unknown when not reported.

Where the upstream GPUs execute the model, not the provider's headquarters, API ingress, or data storage. ZDR and confidential inference do not by themselves restrict geography.

Declared countries or regions: Not verified
No inference-location declaration has been verified for this provider.
Can locations change?: Not verified. Do not assume that the serving location is fixed.
Provider region pinning: Not verified.
Pinning through TrustedRouter: No verified provider-specific location pin documented here.
Infrastructure declaration: Inference location not verified; no country-specific residency commitment.
Evidence: Not yet reviewed.

Provider selection alone is not a region pin. TrustedRouter's US provider filter selects company jurisdiction, not GPU location. A regional gateway hostname does not pin a downstream GPU. For a binding residency requirement, confirm the model, region, failover scope and enforced controls before sending sensitive data.

Measured performance

496 samples

Continuously sampled across Google Vertex AI's routed models: p50 TTFT, effective throughput, and success rate. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime. No prompt or output content stored.

p50 TTFT	2752 ms
Effective throughput	73 tok/s n=4
Uptime	100.00%

Model	p50 TTFT	Effective throughput	Uptime	Config excluded	Availability samples
google/gemini-3.8-flash	1371 ms	—	100.00%	—	136
google/gemini-2.5-flash-lite	2126 ms	—	100.00%	—	20
google/gemini-2.5-pro	2415 ms	—	100.00%	—	49
google/gemini-2.5-flash	2752 ms	—	100.00%	—	272
google/gemini-3.7-flash	1486 ms	—	100.00%	—	4
google/gemini-3.1-flash-lite	1502 ms	—	100.00%	—	5
google/gemini-3.5-flash	1568 ms	109 tok/s n=1	100.00%	—	4
google/gemini-3.6-flash	2848 ms	118 tok/s n=1	100.00%	—	1
google/gemini-3.1-pro-preview	5206 ms	38 tok/s n=2	100.00%	—	4
google/gemini-3.5-flash-lite	—	—	100.00%	—	1

Google Vertex AI performance history · Full provider & model leaderboard.

Provider models

Models served by Google Vertex AI.

Each row links to pricing, provider, benchmark, and API pages for the model.

Model	AI IQ	Context	Input	Cached input	Output
`google/gemini-2.5-flash` Google: Gemini 2.5 Flash	—	1,048,576	$0.3165/1M	$0.03165/1M	$2.6375/1M
`google/gemini-2.5-flash-lite` Google: Gemini 2.5 Flash Lite	—	1,048,576	$0.1055/1M	$0.01055/1M	$0.422/1M
`google/gemini-2.5-pro` Google: Gemini 2.5 Pro benchmarks	IQ 99#121	1,048,576	$1.31875/1M	$0.131875/1M to $0.26375/1M	$10.55/1M
`google/gemini-3.1-flash-lite` Google: Gemini 3.1 Flash Lite	IQ 104#94	1,048,576	$0.26375/1M	$0.026375/1M	$1.5825/1M
`google/gemini-3.1-pro-preview` Google: Gemini 3.1 Pro Preview benchmarks	IQ 122#37	1,048,576	$2.11/1M	$0.211/1M to $0.422/1M	$12.66/1M
`google/gemini-3.5-flash` Google: Gemini 3.5 Flash	IQ 121#39	1,048,576	$1.5825/1M	$0.15825/1M	$9.495/1M
`google/gemini-3.5-flash-lite` Google: Gemini 3.5 Flash Lite	IQ 105#89	1,048,576	$0.3165/1M	$0.03165/1M	$2.6375/1M
`google/gemini-3.6-flash` Google: Gemini 3.6 Flash	IQ 121#40	1,048,576	$0.79125/1M	$0.079125/1M	$3.95625/1M
`google/gemini-3.7-flash` Google: Gemini 3.7 Flash	IQ 127#19	1,048,576	$0.79125/1M	$0.079125/1M	$3.95625/1M
`google/gemini-3.8-flash` Google: Gemini 3.8 Flash	IQ 130#12	1,048,576	$0.79125/1M	$0.079125/1M	$3.95625/1M
`google/veo-3.1` Google Veo 3.1	—	2,500	selected route	Not published	selected route
`google/veo-3.1-fast` Google Veo 3.1 Fast	—	2,500	selected route	Not published	selected route

Questions

Does Google Vertex AI have zero data retention?

TrustedRouter records its managed Google Vertex AI routes as zero data retention. That classification does not automatically cover every direct or BYOK account. Use provider.min_privacy=zdr to require an eligible route.

Is Google Vertex AI end-to-end encrypted?

TrustedRouter does not currently mark Google Vertex AI as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.

Which Google Vertex AI models are available through TrustedRouter?

This page currently lists 12 public Google Vertex AI models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.