CrewAI vs Pydantic AI (2026): which should you pick?

Pick CrewAI if

• Fits if you want to try multi-agent workflows in a visual editor
• Works for a company that wants a VPC or self-run deployment

Look elsewhere if

• Tight if you build for real: 2 automations and 50 executions a month
• Not for you if you want a self-serve paid plan, as none is published
• Watch out: SSO, role-based access and enterprise connectors are Enterprise only
• Skip it if you want instant sign-up for Enterprise, which starts with a trial request and a 45-day onboarding

Pick Pydantic AI if

• Fits if you write Python and want agent inputs and outputs type-checked
• Works for teams already using Pydantic that want to switch model providers without a rewrite

Look elsewhere if

• Skip it if you want a visual builder, because it is a code library only
• Not for you if you do not write Python, as there is no other language or no-code route
• Watch out: Logfire observability is separate, with Team at $49 and Growth at $249 a month
• Watch out: the AI Gateway adds a 5% markup on Personal and Team, 3% on Growth, unless you bring your own keys
• Tight if you need a paid support contract, since the SDK has no paid support tier

CrewAI

• The pricing page lists only Free and Enterprise; there is no published self-serve paid tier.
• The free plan stops at 2 automations and 50 executions a month, with no overage option.
• SSO, role-based access, enterprise connectors and dedicated support are Enterprise only.
• Enterprise starts with a trial request and a 45-day onboarding, not instant sign-up.

Pydantic AI

• It is a code library for Python; there is no hosted builder or visual editor.
• Observability through Logfire is a separate product: the free Personal plan covers 10M records a month, with Team at $49 and Growth at $249 a month.
• The AI Gateway charges a markup on built-in providers (5% on Personal and Team, 3% on Growth) unless you bring your own keys.
• Model usage is billed by whichever provider you connect.

CrewAI

Visual editor and AI copilot

A no-code canvas builder, guided by an AI copilot, that can be exported to Python code.

Role-based agents and workflows

Agents are given roles, and deterministic workflows control how they hand work to each other.

Tracing and evaluation

Tracing of every LLM call, tool call and memory read with cost accounting, plus OpenTelemetry and LLM testing.

Governance controls

Human-in-the-loop approval gates, guardrails, and on Enterprise, SSO, role-based access and PII redaction hooks.

Flexible deployment

Run on CrewAI cloud; Enterprise adds a dedicated VPC or the customer's own infrastructure. Agents can be exported as an MCP server.

Pydantic AI

Typed agent loop

Agents with typed dependencies and structured output, where any supported model is a string swap and another can be set as a fallback.

Many model providers

The docs list providers including OpenAI, Anthropic, Google, AWS Bedrock, Mistral, Groq, Ollama and OpenRouter.

Harness capabilities

Add-ons for memory, guardrails, sub-agents, planning, context management and persistence, up to a complete coding agent.

Evals and graphs

Pydantic Evals grades outputs and tool-call trajectories, and Pydantic Graph gives typed control flow, as separate open-source packages.

Durable execution and interfaces

Integrations with Temporal, DBOS, Prefect and others for long-running work, plus MCP, AG-UI, Vercel AI and a CLI.

CrewAI

• Basic$0

  Visual editor, AI copilot, tracing and GitHub integration; 2 automations and a hard cap of 50 executions a month.

• EnterpriseCustom

  SSO, RBAC, PII redaction, enterprise connectors, dedicated support, and deployment on CrewAI cloud, a VPC or your own servers.

Pydantic AI

• Open source$0

  Install the Python package and run agents in your own code; no paid plan exists for the SDK itself.