CrewAI vs Vellum
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose CrewAI if you want open-source framework for orchestrating role-based, collaborating multi-agent teams (Supervised agent, freemium); choose Vellum if you want platform to build, evaluate, and deploy llm apps and ai agents (Supervised agent, contact).
| CrewAI | Vellum | |
|---|---|---|
| What it is | Open-source framework for orchestrating role-based, collaborating multi-agent teams | Platform to build, evaluate, and deploy LLM apps and AI agents |
| Type | framework | platform |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Framework free (open source); paid tiers reported from ~$25/mo | contact |
| Best for | developers, enterprise, mid-market | developers, enterprise |
| Deployment | self-hosted, api, saas | saas, api |
| Modalities | text, code, api | text, code, api |
| Models | model-agnostic, gpt, claude | model-agnostic, gpt, claude, gemini |
| Protocols | function-calling, mcp, rest-api | mcp, function-calling, rest-api |
| Integrations | OpenAI, Anthropic, Slack, Serper, Datadog | Composio, OpenAI, Anthropic, Google Gemini, AWS Bedrock, Cursor |
| Capabilities | 4 documented | 4 documented |
CrewAI
- +Clean, lean abstraction (Crews + Flows) that many developers find simpler and faster than heavier frameworks
- +Standalone (no LangChain dependency) with strong multi-agent collaboration primitives out of the box
- +Provides a managed enterprise control plane (observability, RBAC, human-in-the-loop) for moving to production
- -Multi-agent designs can compound error rates and cost; not always cheaper or more reliable than a single agent
- -Newer and smaller ecosystem than LangChain, with fewer integrations and less battle-testing
Vellum
- +Genuinely model-agnostic with a large, frequently updated catalog, avoiding lock-in
- +Covers the full LLM lifecycle (experiment, evaluate, deploy, monitor) in one place
- +Strong agent tooling with first-class MCP, Composio integrations, and auto-generated function-calling schemas
- -Brand and domain confusion: the apex vellum.ai domain appeared to host an unrelated product at this review
- -Platform pricing is not transparently published (sales-led, enterprise-leaning)
Which should you choose?
CrewAI is open-source framework for orchestrating role-based, collaborating multi-agent teams, best for developers, enterprise, mid-market. Vellum is platform to build, evaluate, and deploy llm apps and ai agents, best for developers, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.