Google vs Anthropic
Google vs Anthropic for AI agents — ADK vs the Claude Agent SDK
An honest, vendor-neutral comparison of the two agent stacks I build on — and how to decide between them. I'm a Google Partner, and I'll still tell you when the Claude Agent SDK is the better call.
The short answer
Google's Agent Development Kit (ADK) with the Gemini Enterprise Agent Platform, and Anthropic's Claude Agent SDK, are equivalent choices with real tradeoffs — not a winner and a loser. Choose Google when you are already on Google Cloud and need identity, governance and enterprise rails out of the box. Choose the Claude Agent SDK when the model itself is the differentiator — long context, instruction-following, agentic coding — or when you run outside Google's ecosystem.
Both can ship production-grade agents. The right call depends on your stack, your team, and the specific problem — not on a leaderboard.
When Google wins
The Gemini Enterprise Agent Platform (the evolution of what used to be called Vertex AI) bundles Agent Runtime, Memory Bank, Agent Identity and Agent Gateway, with the Agent Development Kit (ADK) for code-first builders. If your data and identity already live in Google Cloud, a lot of the production scaffolding — governance, IAM, observability — is there before you write a line.
It's my default for enterprise clients on GCP. The cost is tighter coupling to the Google ecosystem.
When the Claude Agent SDK wins
Anthropic's Claude Agent SDK is a lean, code-first framework for building agents on Claude. It tends to win when the model's own strengths drive the case — long context, careful instruction-following, reasoning over messy inputs, agentic coding — or when the team runs outside Google's ecosystem and wants a portable stack it can run anywhere.
The cost is fewer enterprise rails out of the box and a younger ecosystem than Google's — closing fast, but newer.
Side by side
| Dimension | GoogleGemini Enterprise Agent Platform + ADK | AnthropicClaude Agent SDK |
|---|---|---|
| What it is | Google's agent stack: the Agent Development Kit (ADK), a code-first framework, plus the managed Gemini Enterprise Agent Platform. | Anthropic's Claude Agent SDK — a code-first framework for building agents on Claude (the evolution of the Claude Code SDK). |
| Best fit | Enterprise teams already on Google Cloud who need governance and identity out of the box. | Teams where the model itself is the differentiator, or who run outside the Google ecosystem. |
| Enterprise rails | Agent Runtime, Memory Bank, Agent Identity and Agent Gateway, plus IAM — a lot of governance is built in. | A leaner SDK; you bring your own runtime and assemble more of the governance yourself. |
| Model strengths | Gemini — strong, deeply integrated with Google data and tooling; improving fast. | Claude — long context, instruction-following and agentic coding tend to be the standouts. |
| Ecosystem | Mature and broad — at the cost of tighter coupling to GCP. | Thinner and newer, but moving quickly and easy to run anywhere. |
| The tradeoff cost | Enterprise rails come with lock-in to the Google ecosystem. | Model quality and a clean, portable SDK come with a younger ecosystem. |
The honest part
Google is my default and I'm a Google Partner through MaGa Srl — but I have no hidden kickbacks, and I'll recommend the Claude Agent SDK when Claude fits. You can also run both: with Model Context Protocol (MCP) and Agent2Agent (A2A), a system can use Google for enterprise identity and orchestration and the Claude Agent SDK where the model quality carries a step.
And sometimes the answer is neither — a plain workflow is enough, or the process isn't ready, or it's worth waiting six months. The framework choice only matters once an agent is genuinely the right tool.
Common questions
Google ADK vs Claude Agent SDK — which is better?
Neither, in the abstract. They are equivalent choices with real tradeoffs, not a winner and a loser. Google's ADK + Gemini Enterprise Agent Platform is the stronger default for enterprise teams already on Google Cloud who need identity and governance built in; Anthropic's Claude Agent SDK tends to win when the model itself is the differentiator — long context, instruction-following, agentic coding — or when you run outside Google's ecosystem.
You are a Google Partner — are you biased toward Google?
Google is my default and I'm a Google Partner through MaGa Srl, but I have no hidden kickbacks and I'll recommend the Claude Agent SDK when Claude fits — or tell you to build a plain workflow, or wait, when AI isn't the answer yet. The honest call beats the convenient one.
Can I use Google and Anthropic together?
Yes. With Model Context Protocol (MCP) for tools and Agent2Agent (A2A) for agent-to-agent communication, a system can mix stacks — for example Google for enterprise identity and orchestration, the Claude Agent SDK where the model quality carries a specific step.
What if neither stack is the right call?
Then I'll say so. Sometimes a deterministic workflow is enough, sometimes the process isn't ready to automate, and sometimes the honest answer is to wait six months. The framework choice only matters once an agent is actually the right tool.
Not sure which fits your case?
That's exactly the call I help teams make — honestly, before any build.
Last updated: June 2026