Vai al contenuto
AI.info

Tools

Google Vertex AI vs IBM watsonx

Google Vertex AI or IBM watsonx? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In inglese

In short

  • Both: Choice of models, API, Runs models for you, Builds agents and workflows, Search over your data
  • Only Google Vertex AI states: Agent that edits files, Command line, Official SDKs, Traces and evaluates
  • Only IBM watsonx states: Knows the whole codebase

Google Vertex AI

Google Cloud's platform for building, deploying, governing, and optimizing AI agents and machine-learning models.

Plans

Imagen model for image generation

$0.0001

  • Pricing is based on image input, character input, or custom training

Text, chat, and code generation

$0.0001 per 1,000 characters

  • Charges are based on input prompt and output response characters

Custom model training

Contact sales

  • Pricing depends on machine type, region, and accelerators

Agent Platform notebooks

Refer to products

  • Compute and storage use the rates for Compute Engine and Cloud Storage

Agent Platform Pipelines

$0.03 per pipeline run

  • Execution charges, resource usage, and additional service fees may apply

Agent Platform Vector Search

Refer to example

  • Costs depend on data size, queries per second, and node count

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Agent that edits files — “Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents.” source
  • Command line — “Download Antigravity and log in to the desktop application or Antigravity CLI using your standard Google Cloud credentials.” source
  • Choice of models — “Choose from Google’s latest multimodal models like Gemini 3.7 Flash, third-party models like Anthropic's Claude Model Family, and open models like Gemma in Model Garden .” source
  • API — “Set up the Agent Platform Gemini API” source
  • Official SDKs — “Install the Agent Platform SDK for Python” source
  • Runs models for you — “When you're ready to use your model to solve a real-world problem, register your model to Model Registry and use the Agent Platform prediction service for batch and online predictions.” source
  • Builds agents and workflows — “Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents.” source
  • Search over your data — “Grounding responses using RAG” source
  • Traces and evaluates — “Our Model Evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.” source

Latest updates

About Google Vertex AI

IBM watsonx

IBM watsonx is an AI and data platform for building AI applications, managing data, deploying agents and governing AI workflows.

Plans

Free

Free

  • Toolbox playground
  • Foundation models: up to 300,000 tokens per month
  • Machine learning tools: up to 20 Compute Usage Hours (CUH) per month
  • Text extraction: up to 100 documents per month

Essentials (Pay-as-you-go)

Free

  • Production deployments
  • Model price breakdown
  • Feature-specific price breakdown

Standard (Pay-as-you-go)

  • Starting at USD 1110/month*
  • Enterprise production
  • Model price breakdown
  • Feature-specific price breakdown

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Knows the whole codebase — “Accelerate across your SDLC with an AI partner that understands your codebase through deep context awareness and helps you accomplish end-to-end development tasks.” source
  • Choice of models — “Choose from a range of models hosted on watsonx” source
  • API — “Using IBM watsonx.ai as a Service APIs, you can run text inference, prompt tuning and more on Large Language Models (LLM)” source
  • Runs models for you — “Choose from a range of models hosted on watsonx” source
  • Builds agents and workflows — “Increase productivity by easily creating, deploying and managing AI assistants and agents to automate and simplify business and customer-facing processes.” source
  • Search over your data — “Supports retrieval augmented generation (RAG)” source

Latest updates

About IBM watsonx