Pydantic AI vs Google ADK: agent frameworks compared

Pydantic AI is a model-agnostic Python framework built around type safety and structured outputs; Google's ADK spans Python, TypeScript, Go, Java and Kotlin with native Google Cloud deployment. Both repos report open-source licenses (MIT and Apache-2.0). The order of options here is editorial, not a verdict. Checked 2026-10-14.

Quick comparison

How the options differ

Languages and surfaces

Pydantic AI is described on its site as a Python framework. Its repository description lists agents, realtime voice, image generation and embeddings, and says the framework is "typed end to end".

ADK's site says it is available in Python, TypeScript, Go, Java and Kotlin, and shows a code sample for each. The adk-python repository is the Python toolkit, described as code-first.

ADK's site also mentions an Agents CLI for scaffolding, building, testing, evaluating and deploying. The cited Pydantic AI sources do not describe a comparable CLI.

Model support

Pydantic AI's site calls it model-agnostic and names OpenAI, Anthropic and Google, among others. Its repository description says "Every model, every interface".

ADK's FAQ says it can work with almost any generative AI model. It gives easy access to Gemini and offers adapters for other providers, including locally running models.

Both sources therefore describe broad model support. Neither excerpt includes a model-by-model compatibility list, so check each project's documentation for specific providers.

Workflows, context and evaluation

ADK's site says ADK 2.0 adds graph-based architectures with explicit execution paths, and describes growth from prompts and tool calls to multi-agent orchestration. It also describes context management that filters events, summarizes older turns, lazy-loads artifacts and tracks token usage.

Pydantic AI's site highlights validation and observability. It also points to Pydantic Evals, which it describes as a way to build datasets, score behavior and compare runs when prompts, models or tools change.

The ADK repository description likewise lists evaluating agents as part of the toolkit's scope.

Deployment

ADK's site says you can containerize and run it on your own infrastructure, or use one-command deployment to Google Cloud. It names Agent Runtime (Agent Platform), Cloud Run and GKE as targets.

The cited Pydantic AI sources do not describe a hosted deployment path. That is a gap in the excerpts, not evidence that no such path exists.

License and repository metadata

The GitHub API reports MIT for Pydantic AI and Apache-2.0 for adk-python. A repository license covers the code; it says nothing about pricing for any hosted service.

The Pydantic AI repository was created on 2024-06-21 and adk-python on 2025-04-01. Creation date alone does not indicate maturity or adoption.

How we compared

We read the GitHub repository metadata and the product sites for both tools: github.com/pydantic/pydantic-ai, pydantic.dev/pydantic-ai, github.com/google/adk-python and adk.dev. All were checked on 2026-10-14.

We did not install either framework, run code, benchmark latency or cost, or test model integrations. Statements come from the cited pages only.

Limitations

The sources do not state pricing for either project, any hosted-service terms, or benchmark results. They do not include star counts, user counts or release cadence comparisons.

The ADK site is written by the ADK project, and the Pydantic AI site by Pydantic, so both are vendor descriptions rather than independent reviews. Feature parity across ADK's non-Python languages is not stated in the cited sources.

The Pydantic AI excerpts do not describe multi-language SDKs, graph-based workflow features or a deployment CLI. Check current documentation before relying on that absence.

Related reading

Browse the Pydantic AI hub, the adk-python hub and the Frameworks category. Latest launches: Pydantic AI 2.55.0 adds Conversation and prompt caching and adk-python 2.12.0 adds tool output callbacks and approvals. Other comparisons: Agno vs Google ADK, Agno vs Pydantic AI, Pydantic AI vs CrewAI, Pydantic AI vs LangChain and Pydantic AI vs LangGraph.