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Amazon Bedrock vs Vertex AI

A feature-by-feature comparison of Amazon Bedrock and Vertex AI across 7 capability categories.

First tool

Try Amazon Bedrock (opens in a new tab)

Second tool

Try Vertex AI (opens in a new tab)

Modalities — Vertex AI Wins

Modalities: Amazon Bedrock compared with Vertex AI
Feature	Amazon Bedrock	Vertex AI
Text Input	Yes, requires plus plan. InvokeModel and Converse APIs accept text prompts across hosted FMs.	Yes, requires plus plan. Gemini and other models via Generate Content API and Agent Studio.
Image Upload / Vision	Partial. Multimodal models (e.g. Claude on Bedrock) accept images via the Converse API.	Yes, requires plus plan. Gemini multimodal accepts images in the API and console.
Image Generation	Partial. Titan Image and third-party image models are in the model catalog. Not a consumer DALL·E-style chat.	Yes, requires plus plan. Imagen models in Model Garden and Vertex AI Studio.
Voice Mode	Unknown. Speech models exist on Bedrock. A turnkey voice-chat loop was not checked this round.	Partial. Speech APIs exist. Not a consumer voice-chat loop like Gemini app.
Video Understanding	Partial. Video-capable models may be hosted. Bedrock itself is an inference platform, not a YouTube chat product.	Yes, requires plus plan. Gemini video understanding in Agent Studio and the API.
Video Generation	No. Not a video generation product.	Yes, requires plus plan. Vertex AI serves Veo and other video generation models.
File Upload (PDF, DOCX)	Yes, requires plus plan. Knowledge Bases ingest documents (S3, etc.) for RAG.	Yes, requires plus plan. RAG with Cloud Storage and document ingestion in Agent Builder.
Code Execution	Partial. Agents can call tools and Lambdas. No first-party Python sandbox in chat.	Partial. Colab Enterprise and notebooks for code. Not a chat Python sandbox.
Audio Input	Partial. Speech models are listed. Bedrock is not a dedicated STT consumer app.	Partial. Speech-to-text models available. Vertex is a platform, not a voice assistant.
Canvas / Artifact Editor	No. Console playground, not a consumer artifacts canvas.	No. Studio is a dev console, not a consumer canvas.
Screen Sharing / Computer Use	No. No computer-use desktop product.	No. No computer-use desktop product.

Memory & Context — Tie

Memory & Context: Amazon Bedrock compared with Vertex AI
Feature	Amazon Bedrock	Vertex AI
Persistent Memory	Partial. Knowledge Bases and AgentCore session memory. You configure retention.	Partial. RAG corpora and agent session config. Distinct from consumer Gemini memory.
Large Context Window	Unknown. Depends on the foundation model you invoke. No single Bedrock window.	Unknown. Depends on the Gemini/model version deployed.
Custom Instructions	Yes, requires plus plan. Guardrails, system prompts, and agent instructions in the console/API.	Yes, requires plus plan. System instructions in Agent Studio and API prompts.
Conversation History	Partial. AgentCore sessions persist within configured limits. Stateless per InvokeModel call.	Partial. Session state in agents. API calls are otherwise stateless.

Integrations — Tie

Integrations: Amazon Bedrock compared with Vertex AI
Feature	Amazon Bedrock	Vertex AI
Web Search / Browsing	Partial. Agents can wire a search tool (e.g. via Lambda). Not a built-in cited search box.	Partial. Grounding with Google Search in Gemini API. Enterprise Agent Platform feature set.
Plugins / Extensions	Yes, requires plus plan. Action groups, Lambda tools, and third-party integrations for agents.	Yes, requires plus plan. Extensions, tools, and Model Garden integrations.
API Access	Yes, requires plus plan. AWS SDK, InvokeModel, Agents, and Knowledge Bases APIs. Usage billing.	Yes, requires plus plan. Vertex AI REST/gRPC SDK. $300 credits for new accounts.
Zapier Integration	Unknown. No first-party Zapier listing was checked this round.	Unknown. No first-party Zapier listing was checked.
Custom GPTs / Bots	Yes, requires plus plan. Bedrock Agents and AgentCore are deployable custom agents.	Yes, requires plus plan. Agent Builder and Agent Studio deploy custom agents.
Real-time Collaboration	No. IAM-shared console, not a multiplayer chat canvas.	Partial. IAM-shared console and notebooks. Not multiplayer chat.
Live Social Data Integration	No. No live social firehose product.	No. No live social firehose product.
Live Citation Mapping	Partial. Knowledge Base RAG returns source chunks. Not Perplexity-style inline web citations.	Partial. Grounding with Search returns citations. RAG returns source chunks.

Developer — Vertex AI Wins

Developer: Amazon Bedrock compared with Vertex AI
Feature	Amazon Bedrock	Vertex AI
Function Calling	Yes, requires plus plan. Bedrock Agents use tool/action groups for function calling.	Yes, requires plus plan. Function calling in Gemini and agent tool use.
Streaming Responses	Yes, requires plus plan. InvokeModelWithResponseStream and Converse stream tokens.	Yes, requires plus plan. Streaming generateContent responses.
Fine-Tuning	Yes, requires plus plan. Custom model fine-tuning is a listed Bedrock capability.	Yes, requires plus plan. Supervised fine-tuning and tuning jobs in Vertex AI.
Embeddings API	Yes, requires plus plan. Titan Embeddings and Knowledge Base vector indexes.	Yes, requires plus plan. Text embeddings and Vector Search.
Structured Output (JSON)	Partial. Tool schemas and JSON mode depend on the model. Guardrails add structure.	Yes, requires plus plan. JSON schema / response schema in Gemini API.
Reasoning / Thinking Mode	Partial. Reasoning models (e.g. Claude extended thinking) can be hosted. No Bedrock-branded Deep Think toggle.	Partial. Thinking/reasoning models in Gemini 2.x family. Platform-level, not a single toggle.
Local Execution	No. Managed AWS inference. Distinct from Kiro local dev.	No. Cloud GCP inference. Distinct from Antigravity local dev.
Open Weights	Partial. Hosts some open models (e.g. Llama) alongside proprietary FMs.	Partial. Model Garden hosts open models (Gemma, Llama) plus Google proprietary models.
Multi-Agent Orchestration	Yes, requires plus plan. AgentCore supports multi-agent workflows and supervisor patterns.	Yes, requires plus plan. Gemini Enterprise Agent Platform supports multi-agent flows.

Platforms — Tie

Platforms: Amazon Bedrock compared with Vertex AI
Feature	Amazon Bedrock	Vertex AI
Web App	Yes, requires plus plan. Bedrock console in the AWS Management Console.	Yes, requires plus plan. Google Cloud console and Vertex AI Studio.
iOS App	No. No consumer iOS app. AWS console is web-only.	No. No consumer iOS app. Distinct from Gemini mobile.
Android App	No. No consumer Android app.	No. No consumer Android app.
Desktop App	No. Console is browser-based, not a branded desktop app.	No. Browser console, not a desktop chat app.
Chrome Extension	No. No Chrome extension.	No. No Chrome extension.

Privacy — Amazon Bedrock Wins

Privacy: Amazon Bedrock compared with Vertex AI
Feature	Amazon Bedrock	Vertex AI
GDPR Compliant	Yes, requires enterprise plan. AWS lists GDPR, HIPAA, and FedRAMP coverage for Bedrock.	Partial. Google Cloud compliance offerings. Specific Vertex DPA not re-read.
Opt Out of Data Training	Yes, requires plus plan. AWS states it does not train on customer content submitted to Bedrock.	Partial. Enterprise terms restrict training on customer data. Consumer Gemini policies differ.
Enterprise Privacy Mode	Yes, requires enterprise plan. VPC endpoints, KMS encryption, Guardrails, and enterprise AWS agreements.	Yes, requires enterprise plan. VPC-SC, CMEK, and Gemini Enterprise privacy controls.

Workspaces — Tie

Workspaces: Amazon Bedrock compared with Vertex AI
Feature	Amazon Bedrock	Vertex AI
Projects / Folders	Partial. Knowledge Bases, agents, and guardrails are organized in the console. Not chat project folders.	Unknown. Overlapping columns disagreed (yes vs partial); left unverified rather than copying a no.