CrewAI vs Google Agent Development Kit

Core Capabilities: CrewAI vs Google ADK

CrewAI specializes in role-based multi-agent collaboration. Each agent can be assigned a specific role, goal, and set of tools, and agents collaborate through structured workflows. This design is ideal for complex tasks like document processing, where you can parallelize work across specialized agents. Google ADK provides similar multi-agent orchestration (sequential, parallel, loop, and graph-based workflow agents) but lacks the explicit role-based abstraction. Instead, ADK focuses on flexibility via custom agents and agent teams. CrewAI also includes a visual editor and AI copilot, making it accessible to subject-matter experts who aren't developers. Google ADK is code-first; while it offers a local dev UI (adk web), it is not designed for non-developers. CrewAI wins here for accessibility and structured role-based collaboration.

AI/Model Approach: CrewAI vs Google ADK

CrewAI is model-agnostic, supporting OpenAI, Anthropic, Groq, Ollama, LangChain, and more. You can configure LLMs per agent or globally. Google ADK is Gemini-native (deep Gemini function calling integration) but model-agnostic via LiteLLM adapter. It also supports OpenAI, Anthropic, Ollama, vLLM, and LiteRT-LM. However, ADK's built-in evaluation harness is designed around Gemini's capabilities and integrates tightly with Vertex AI. CrewAI's model flexibility is broader out of the box, but ADK offers a more polished experience for Google model users. Tie for model flexibility; Google ADK wins for Gemini-native features.

Integrations & Ecosystem

CrewAI integrates with LangChain, OpenAI, Anthropic, Groq, Ollama, GitHub, Slack, Microsoft Teams, Okta, MS Entra, AWS, Azure, GCP, and OpenTelemetry. This broad ecosystem makes it easy to fit into existing enterprise toolchains. Google ADK integrates with Gemini, Vertex AI, OpenAI, Anthropic, LiteLLM, Cloud Run, GKE, GCS, Apigee AI Gateway, Ollama, vLLM, LiteRT-LM, and also supports MCP and A2A protocols for inter-agent communication with other frameworks (including CrewAI via A2A). ADK's integration set is narrower but more deeply Google-centric. CrewAI wins on ecosystem breadth; Google ADK wins on Google Cloud depth and protocol support.

Performance & Scale

CrewAI publicly states it runs 450 million agentic workflows per month and is used by over 60% of the Fortune 500. It supports serverless containers with automatic scaling, cron scheduling, and deployment history. Google ADK was released in April 2025 and does not yet have published usage metrics. Its performance at scale depends on the underlying Google Cloud infrastructure (Vertex AI Agent Engine, Cloud Run, GKE). CrewAI wins here due to proven scale and enterprise-grade reliability.

Developer Experience & Workflow

CrewAI provides a Python framework, CLI, visual editor, and AI copilot. It also offers workflow tracing and agent training, which are useful for debugging and iteration. Google ADK provides a Python framework with a local dev UI (adk web) for run inspection, a built-in evaluation harness (criteria, simulation, custom metrics), and session state management with rewind and migrate. ADK's evaluation harness is a standout feature, making it easy to test agent versions with a fixed test set. CrewAI's visual editor and copilot lower the barrier for non-developers. Tie: CrewAI for visual editing, Google ADK for built-in evaluation.

CrewAI pricing (2026)

CrewAI offers a freemium model:

• Open Source Plan: $0/month. Includes the full CrewAI framework for building and running agents locally. No cloud hosting, support, or monitoring.
• Enterprise Plan: Custom pricing (contact sales). Includes cloud hosting, support, monitoring, and likely additional enterprise features like RBAC, SSO, and on-prem deployment. Exact pricing is not public.

Note that CrewAI's open-source plan does not include any free cloud execution. To run workflows at scale without managing your own infrastructure, you need the Enterprise plan. Usage of over 450M workflows/month suggests large enterprise customers pay significant sums.

Google ADK pricing (2026)

Google ADK is fully open-source and free under an Apache 2.0 license. There are no paid tiers or usage limits. All costs come from the underlying infrastructure when you deploy agents to Google Cloud (e.g., Vertex AI Agent Engine, Cloud Run, GKE, Cloud Storage). You only pay for the compute and storage resources you consume. This makes ADK cost-effective for development and prototyping, but production costs depend entirely on your cloud spend.

Value-per-dollar: CrewAI vs Google ADK

For teams already on Google Cloud and using Gemini, Google ADK offers excellent value because the core framework is free and tightly integrated with Google's ecosystem. You only pay for infrastructure. For teams outside Google Cloud or needing enterprise features like RBAC, visual editing, and dedicated support, CrewAI's Enterprise plan provides those but at a custom price that can be steep. Small teams or individual developers on a budget may prefer Google ADK's zero-cost framework, while large enterprises requiring mature multi-agent orchestration and enterprise controls will likely find CrewAI worth the investment.