CrewAI vs Portkey
On the evidence we track, Portkey leads this comparison with a composite score of 79/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
CrewAI
CrewAI is a multi-agent automation framework that provides teams with tools to build complex agent workflows through a visual editor or code. It includes a unified control plane for managing production deployments with real-time tracing, governance policies, multi-LLM support, and deployment options for cloud or on-premises infrastructure.
Portkey
LeaderPlatform providing API gateway functionality, observability with logging and traces, safety guardrails, access governance, and prompt version management for teams deploying AI applications at scale.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
CrewAI
Free tier with 50 monthly executions; Enterprise plan with custom pricing
- BasicFree
- Visual editor and AI copilot
- GitHub integration
- Standard tools and triggers
- CrewAI cloud deployment
- Usage dashboard
- +1 more
- EnterpriseContact sales
- Everything in Free, plus:
- SSO (MS Entra, Okta)
- Role-based access control
- PII redaction and policy enforcement
- Workload identity
- +18 more
Portkey
LeaderFree tier with 10k logs/month. Production at $49/month with usage overages. Enterprise custom pricing for compliance-focused organizations.
- DeveloperFree
- Universal API & Key Management
- Routing, Fallbacks, Load Balancing, Retries
- 3 Prompt Templates with Playground, Versioning, Variables
- Logs, Traces, Feedback, Custom Metadata, Filters
- Simple Caching
- +3 more
- Production$49/month + $9 per 100k request overage
- Universal API, Fallbacks, Load Balancing, Retries
- Unlimited Prompt Templates with Playground, API Deployment, Versioning, Variables
- Logs, Traces, Feedback, Metadata, Filters, Alerts
- LLM & Partner Guardrails
- Role-Based Access Control, Service Account API Keys
- +3 more
- EnterpriseContact sales
- Custom retention periods for logs and metrics
- Advanced Evaluation Templates with custom guardrail hooks
- Role-Based Access Control, SSO (Okta), Granular Budget & Rate Limits
- Private Cloud Deployment, VPC Hosting, Data Export to Data Lakes
- SOC2 Type 2, GDPR, HIPAA compliance certifications
- +3 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Anthropic
- OpenAI
- Claude
CrewAI
- NVIDIA NIM
- GitHub
- Slack
- Microsoft Teams
- Arize
- Galileo
- DataDog
- Patronus
- IBM Db2
- OpenTelemetry
- LiteLLM
- E2B
- Daytona
- AWS Bedrock
- Ollama
- Model Context Protocol
- SerperDev
- Gemini
- DashScope
- CopilotKit
- Google Gemini
- OpenRouter
- Oracle
- MS Entra
- +1 more
Portkey
Leader- Google Cloud (Vertex AI, Gemini)
- Azure
- AWS
- GCP
- Langgraph
- CrewAI
- Strands Agents
- Google ADK
- Mistral
- MongoDB
- Vertex AI
- Claude Code
CrewAI or Portkey: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.