OpenRouter vs CrewAI

OpenRouter

CrewAI

OpenRouter · 15 features

• 300+ Models — Claude, GPT, Gemini, Llama, Mistral, Qwen, DeepSeek, Cohere, Grok + open-source.
• 60+ Providers — Anthropic, OpenAI, Google, Together, Fireworks, Groq, DeepInfra, Replicate, etc.
• Auto Fallback — Automatic retry to backup provider on failure.
• Bring Your Own Key — Use your own provider keys → pay providers directly + no platform fee.
• Credit System — Prepay credits via card, crypto, or bank.
• Data Retention Controls — Opt-out of training/retention per provider.
• Free Models Tier — 25+ models available at $0 (limited rate).
• Prompt Caching — Automatic cache for identical prefixes (provider-dependent).
• Provider Preferences — Pin preferred providers per request or default.
• Rankings & Stats — Public leaderboard of most-used models.
• Regional Routing — Route requests to specific geographic regions.
• Streaming — SSE + partial completions.
• Structured Outputs — JSON-mode + JSON schema across supporting models.
• Tool Use / Function Calling — Unified tool calling across providers.
• Unified OpenAI-Compat API — Same endpoint for every model + provider.

CrewAI · 11 features

• CrewAI Enterprise UI — Managed cloud for deploying + monitoring crews.
• Hierarchical Process — Manager agent delegates to workers.
• Human Input — human_input=True pauses for human review/approval.
• MCP Tool Support — Consume MCP servers as Agent tools.
• Memory — Short-term, long-term, entity memory per Crew/Agent.
• Observability Integrations — Langfuse, LangSmith, AgentOps, OpenLIT.
• Planning Feature — Optional planner agent that plans before task execution.
• Task Guardrails — Validate task output + retry with feedback.
• Testing — Test Crews deterministically with eval metrics.
• Tools — 70+ pre-built tools (search, scrape, file, vision, code exec).
• Training — Train agents from feedback loops.