At a glance

Vertex AIpricing, performance & catalog

The citable facts about Vertex AI's 3 models — sourced from provider APIs and refreshed continuously.

Lowest price
Claude Haiku 4.5 at $1.00 per 1M input tokens
Highest throughput
Claude Haiku 4.5 at 100 tokens/s
Lowest latency
Claude Haiku 4.5 at 0.30s
Largest context
Claude Opus 4.8 at 1.0M tokens
Catalog
3 active models from 1 organization

FAQ

Common questions about Vertex AI.

What is Vertex AI?

Vertex AI is an API provider that hosts large language models. Active models: 3; From (input): $1.00 / 1M tok; Avg throughput: 67 tok/s; Avg latency: 0.41 s; Max context: 1.0M.

How many models does Vertex AI offer?

Vertex AI currently serves 3 active models out of 3 historical offerings on LLM Stats.

What is Vertex AI's API pricing?

Vertex AI input pricing starts from $1.00 per 1M tokens, with the most expensive offering at $5 per 1M tokens. See the Pricing tab above for the full per-model breakdown.

How fast is Vertex AI?

Vertex AI averages 67 output tokens per second across its catalog, with average latency of 0.41s. Per-model performance is shown in the Performance tab.

Is Vertex AI OpenAI compatible?

Most providers expose an OpenAI-compatible /v1/chat/completions endpoint so you can switch from OpenAI to Vertex AI by changing only the base URL and API key. Check https://cloud.google.com/vertex-ai for the exact endpoint format and any provider-specific parameters.

Does Vertex AI support multimodal models?

Yes. Vertex AI's catalog includes 3 vision-capable models. See the Models and Capabilities tabs for the full per-model breakdown.

Whose models does Vertex AI host?

Vertex AI hosts models from Anthropic. See the Models tab for the full catalog grouped by creator.

How do I start using Vertex AI?

Sign up at https://cloud.google.com/vertex-ai to get an API key, then call Vertex AI's API directly from your application. Most clients work out of the box by pointing the OpenAI SDK at Vertex AI's base URL with your key. Use the Pricing and Performance tabs above to pick the right model for your latency, cost, and context-window requirements.