Pydantic AI vs smolagents

A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.

Short answer: choose Pydantic AI if you want type-safe python framework for building production ai agents (Supervised agent, free); choose smolagents if you want minimalist open-source library for agents that think in code (Supervised agent, free).

Pydantic AIsmolagents
What it isType-safe Python framework for building production AI agentsMinimalist open-source library for agents that think in code
Typeframeworkframework
AutonomySupervised agentSupervised agent
Pricingfree · Free (open source; pay underlying model usage)free · Free (open source; pay model + sandbox usage)
Best fordevelopersdevelopers
Deploymentself-hosted, apiself-hosted, api
Modalitiestext, code, apitext, code, image
Modelsmodel-agnosticmodel-agnostic, open-source
Protocolsmcp, function-calling, rest-apimcp, function-calling, rest-api
IntegrationsOpenAI, Anthropic, Google Gemini, Mistral, Amazon Bedrock, OllamaHugging Face Hub, LiteLLM, Ollama, E2B, Modal, Docker
Capabilities3 documented4 documented

Pydantic AI

  • +Strong type safety and schema-validated outputs from the Pydantic team
  • +Built-in reflection and self-correction on invalid output
  • +Model-agnostic across most major providers; integrates with Logfire observability
  • -Python-only
  • -A framework, not a product: you build, host, and secure your agents
Full Pydantic AI profile

smolagents

  • +Tiny, transparent core (~1,000 lines) that is easy to read and extend
  • +Code-as-action approach enables natural composability
  • +Model-agnostic, multimodal, with sandboxed execution and Hub sharing
  • -Minimalist by design: fewer batteries-included features than larger frameworks
  • -A framework, not a product: you build, host, and secure agents yourself
Full smolagents profile

Which should you choose?

Pydantic AI is type-safe python framework for building production ai agents, best for developers. smolagents is minimalist open-source library for agents that think in code, best for developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.