There’s no single winner — the right platform depends on where your infrastructure and identity already live. If your team runs on AWS with data in S3, Amazon Bedrock gives the widest third-party model catalog (Claude, Llama, Mistral, Cohere) with the least architectural disruption. If you’re a Microsoft 365 or Entra ID shop, Microsoft Foundry — the January 2026 rename of Azure AI Foundry — is the fastest path to production, with exclusive day-one access to new OpenAI models. If Google Workspace and BigQuery are your data gravity, Google’s Gemini Enterprise stack, recently restructured around the Gemini Enterprise Agent Platform, is the natural fit. And if you’re already running Oracle Fusion, NetSuite, or an Oracle database estate, OCI Generative AI is worth a serious look — and gets skipped in almost every comparison written this year.
At a Glance
| Platform | Best for | Model catalog | Identity / governance | Agent framework | Pricing model |
|---|---|---|---|---|---|
| Amazon Bedrock | AWS-native, multi-model flexibility | 30+ models: Claude, Llama, Mistral, Cohere, Titan, Nova | IAM, CloudTrail, Bedrock Guardrails | Bedrock Agents / AgentCore | Per-token, serverless or provisioned throughput |
| Microsoft Foundry | Microsoft 365 / Entra-native enterprises | 11,000+ models incl. GPT-5, o-series, Claude, Llama, Phi | Entra ID, Purview, Defender, Agent 365 | Foundry Agent Service | Azure consumption-based, no separate platform fee |
| Google Gemini Enterprise | Workspace / BigQuery-native orgs | Gemini 2.5 Pro/Flash + Model Garden (Claude, Llama, Mistral) | Google Cloud IAM, Workspace DLP | Gemini Enterprise Agent Platform (formerly Vertex AI) | Per-token/character + GCP compute |
| OCI Generative AI | Oracle-native, cost- and sovereignty-sensitive orgs | Cohere, Llama, xAI Grok, gpt-oss, Model Import | OCI IAM, zero data retention, sovereign AI | Agent Hub, OpenAI-compatible Responses API | Per-character on-demand or dedicated clusters |
What Actually Changed in 2026
Most comparisons circulating right now are already out of date on naming. Azure AI Foundry became Microsoft Foundry effective January 1, 2026 — its third name since 2024 (Azure AI Studio → Azure AI Foundry → Microsoft Foundry) — though the underlying resource model and existing Azure OpenAI deployments carried over unchanged. Google made a bigger structural move: at Google Cloud Next 2026 in April, Vertex AI was folded into a new Gemini Enterprise Agent Platform, consolidating Model Garden, AutoML, and Pipelines under the Gemini Enterprise brand. Search the Google Cloud console for “Vertex AI” today and it redirects you to Agent Platform. Oracle, meanwhile, has been shipping quietly — OCI Generative AI added xAI’s Grok 4.1 Fast and Cohere’s Command A models in January 2026 alone, and folded model access, agents, and governance into a single “OCI Enterprise AI” offering most 2026 comparisons still miss entirely.
Amazon Bedrock
Bedrock’s core strength is model breadth without commitment. Teams route between Claude, Llama, Mistral, Cohere, and Amazon’s own Nova models through a single API, switching per use case without re-platforming. Bedrock is also the only place to run Claude with AWS’s enterprise indemnification. AgentCore, launched October 2025, gives Bedrock a full production runtime for autonomous agents — memory, gateway, identity, and observability included. Guardrails and Prompt Caching, which delivers up to 90% cost savings on repeated context, make it economical at scale. The trade-off: Bedrock’s own model family is thinner than Foundry’s OpenAI lineup, and governance tooling assumes you’re already deep in AWS IAM.
Microsoft Foundry
Foundry’s advantage is structural: if your organization runs Microsoft 365 and Entra ID, AI agents inherit existing identity, compliance, and DLP policies on day one. The OpenAI partnership means GPT-5 and the o-series reasoning models often ship on Foundry first. Foundry Agent Service, GA since March 2026, runs on the Responses API and plugs directly into Exchange, Teams, and SharePoint through Microsoft Graph. The catalog extends past OpenAI to Llama, Mistral, DeepSeek, Phi, and Claude via a 2025 Anthropic partnership. The honest caveat: this is Foundry’s third name in two years, and teams mid-migration from Azure AI Studio or classic Foundry hubs are still untangling SDK breaking changes.
Google Gemini Enterprise
Gemini Enterprise spans two layers that are easy to conflate: the Gemini Enterprise app, a Copilot-style front end for search and Workspace automation, and the Gemini Enterprise Agent Platform underneath it, which absorbed Vertex AI’s Model Garden and pipeline tooling. Gemini’s native multimodality — text, image, video, and audio in one model — is the strongest of the four for mixed-media workloads, like clinical notes paired with imaging. BigQuery integration lets data teams run semantic search over structured data without an export pipeline. The gap: agent orchestration is newer here than Bedrock’s or Foundry’s, and the April 2026 rebrand means documentation and partner integrations are still catching up to the new naming.
OCI Generative AI
OCI is the platform every other 2026 comparison skips, which is a mistake for a specific buyer: organizations already running Oracle Fusion, NetSuite, or Oracle Database workloads, where keeping inference next to the data avoids an export pipeline entirely. OCI Enterprise AI now bundles model access, an OpenAI-compatible Responses API for agents, and governance into one offering, with File Search, Code Interpreter, and MCP tool support built in. Recent additions include xAI’s Grok 4.1 Fast and Cohere’s Command A Vision and Reasoning models. Compute economics are a genuine differentiator — OCI’s per-OCPU pricing runs roughly half of AWS or Azure’s per-vCPU equivalent, with 10TB of free monthly outbound transfer versus the 100GB most hyperscalers offer. Zero data retention endpoints matter for regulated workloads.
Which Should You Choose?
Choose Amazon Bedrock if your data already lives in AWS, you need Claude with enterprise indemnification, or you want multi-model flexibility without a single-vendor bet. Choose Microsoft Foundry if you’re a Microsoft 365 or Entra ID organization where GPT-family models are central and time-to-value inside existing workflows matters more than lowest per-token cost. Choose Google Gemini Enterprise if Google Workspace and BigQuery are your operational core, or your use case is genuinely multimodal — video, audio, and documents together. Choose OCI Generative AI if you’re already running Oracle applications or databases, compute cost and egress fees are a real budget line, or data sovereignty rules out the big three. Most multi-cloud enterprises end up using two of these — a primary hyperscaler plus OCI where the data already sits.
Who Wrote This
This comparison was put together by Triotech Systems, a Toronto-based managed DevOps cloud security company that runs production infrastructure across AWS, Azure, GCP, and OCI for fintech, healthcare, and crypto clients since 2020. We’re not reselling any of these platforms — this is written from the perspective of engineers who’ve deployed on more than one of them and have to live with the governance and cost decisions afterward, not from a vendor briefing.
Talk to an Engineer
Choosing between these four is an infrastructure decision as much as a model decision. If you want a second opinion on which platform fits your existing stack, talk to an engineer at Triotech Systems — reach us at +1 431-430-8746 or through our contact page.
Frequently Asked Questions
Is Microsoft Foundry the same as Azure AI Foundry?
Yes. Microsoft renamed Azure AI Foundry to Microsoft Foundry effective January 1, 2026, positioning Foundry as a Microsoft-wide platform rather than an Azure-only service. Existing deployments, endpoints, and API keys carried over unchanged — only the name and portal experience changed.
What happened to Google Vertex AI?
At Google Cloud Next 2026, Google restructured Vertex AI into the Gemini Enterprise Agent Platform, folding Model Garden, AutoML, and Pipelines into the Gemini Enterprise brand. The Google Cloud console now redirects “Vertex AI” searches to Agent Platform, though the underlying APIs remain functionally similar.
Does OCI Generative AI support the same models as the other platforms?
Partially. OCI focuses on Cohere and Meta Llama as first-party models, plus xAI Grok and gpt-oss models added in late 2025 and January 2026, with Model Import for bringing your own. It doesn’t offer exclusive access to GPT or Claude the way Foundry and Bedrock do, respectively.
Can we run more than one of these platforms?
Yes, and many enterprises do. A common pattern is a primary platform matching your core cloud, plus OCI or a secondary provider where specific data, compliance, or cost requirements point elsewhere.
