Google AI Studio alternatives

3 other AI Infrastructure & Deployment tools we have sourced reviews for, all in the same niche as Google AI Studio (Cloud AI Platforms). Within that, they're ordered by aitrove popularity, not by a quality score: we haven't tested them hands-on, so we don't rank them as "best".

Google AI Studio in one minute

Best for: Developers prototyping with Gemini.

Biggest catch: Free-tier prompts and responses may be used to improve Google products.

Skip it if: You're putting sensitive data through the free tier.

Price: Free tier: yes (rate-limited). Paid usage via Cloud Billing, per token. (checked Oct 11, 2026)

Full Google AI Studio review

At a glance

ToolBest forBiggest catchStarting price
Microsoft Foundry (formerly Azure AI Studio)Enterprises already on Azure.Renamed twice (Azure AI Studio, then Azure AI Foundry, then Microsoft Foundry), so docs and tutorials are confusingConsumption-based. The platform is free, services are billed separately. (checked Oct 11, 2026)
Amazon SageMaker AIML teams already on AWS.Renamed SageMaker AI in Dec 2024, with SageMaker Unified Studio alongside it, so naming is confusingPay-as-you-go per AWS service. Free Tier for new accounts. (checked Oct 11, 2026)
Gemini Enterprise Agent Platform (formerly Vertex AI)Teams building production AI on Google Cloud.Renamed from Vertex AI in April 2026, so older docs and tutorials use the old nameUsage-based. Up to $300 new-customer credits. Agent Compute free up to 50 hrs/mo, then $0.085/hr. (checked Oct 11, 2026)

1. Microsoft Foundry (formerly Azure AI Studio) Renamed

Enterprise AI Platforms · AI Development Suite

Best for: Enterprises already on Azure.

Pros

  • Microsoft's managed platform for building and deploying AI apps and agents
  • Free to explore, pay only for the services you use
  • Enterprise security and compliance on Azure

Biggest catch

Renamed twice (Azure AI Studio, then Azure AI Foundry, then Microsoft Foundry), so docs and tutorials are confusing

Skip it if: You want simple, flat pricing.

Starting price: Consumption-based. The platform is free, services are billed separately. (checked Oct 11, 2026)

Full Microsoft Foundry (formerly Azure AI Studio) review · Microsoft Foundry (formerly Azure AI Studio) vs Google AI Studio · Microsoft Foundry (formerly Azure AI Studio) alternatives

Sources for Microsoft Foundry (formerly Azure AI Studio)

2. Amazon SageMaker AI Renamed

Enterprise AI Platforms · Cloud ML Platform

Best for: ML teams already on AWS.

Pros

  • AWS's full ML platform for training, tuning and deployment
  • Unified Studio has no separate charge. You pay for the underlying services
  • Free Tier includes 250 hours of ml.t3.medium notebooks for two months

Biggest catch

Renamed SageMaker AI in Dec 2024, with SageMaker Unified Studio alongside it, so naming is confusing

Skip it if: You're a solo builder wanting a simple hosted API.

Starting price: Pay-as-you-go per AWS service. Free Tier for new accounts. (checked Oct 11, 2026)

Full Amazon SageMaker AI review · Amazon SageMaker AI alternatives

Sources for Amazon SageMaker AI

3. Gemini Enterprise Agent Platform (formerly Vertex AI) Renamed

Enterprise AI Platforms · Cloud ML Platform

Best for: Teams building production AI on Google Cloud.

Pros

  • Google Cloud's full ML and agent platform, with Gemini and third-party models
  • New customers get up to $300 in credits, and some APIs are free for 90 days
  • Free Agent Compute up to 50 hours a month

Biggest catch

Renamed from Vertex AI in April 2026, so older docs and tutorials use the old name

Skip it if: You just want a chatbot or simple API key.

Starting price: Usage-based. Up to $300 new-customer credits. Agent Compute free up to 50 hrs/mo, then $0.085/hr. (checked Oct 11, 2026)

Full Gemini Enterprise Agent Platform (formerly Vertex AI) review · Gemini Enterprise Agent Platform (formerly Vertex AI) alternatives

Sources for Gemini Enterprise Agent Platform (formerly Vertex AI)

Head-to-head comparisons

Pros, catches and prices are compiled from public sources (official pricing and docs pages, published reviews, user reports), not hands-on testing. Prices change often, so check the vendor page before you buy.