Portkey AI vs Vellum
Detailed side-by-side comparison to help you choose the right tool
Portkey AI
đ´DeveloperBusiness Analytics
AI gateway and observability platform for managing multiple LLM providers with routing, fallbacks, and cost optimization.
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Starting Price
FreeVellum
đ´DeveloperAI Developer Tools
LLM development platform for prompt engineering, evaluation, workflow orchestration, and deployment of production AI applications. Helps engineering teams build, test, and ship LLM-powered features with version control and observability.
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FreeFeature Comparison
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đĄ Our Take
Choose Vellum if you need prompt engineering, evaluation, and workflow orchestration in one platform. Choose Portkey if you primarily need an AI gateway with routing, caching, and observability across LLM providers. Vellum covers the development lifecycle; Portkey focuses on the inference layer.
Portkey AI - Pros & Cons
Pros
- âEliminates vendor lock-in by providing unified access to all major LLM providers
- âIntelligent routing and fallbacks significantly improve application reliability and cost efficiency
- âComprehensive observability provides insights impossible to achieve with direct provider APIs
- âAdvanced caching and optimization features reduce costs without sacrificing performance
- âEnterprise security features enable secure multi-provider access for sensitive applications
Cons
- âAdditional complexity compared to using single provider APIs directly
- âPotential latency overhead for simple applications that don't need advanced routing
- âDependency on Portkey service introduces another potential point of failure
Vellum - Pros & Cons
Pros
- âComplete LLM development lifecycle in one platform â from prompt engineering through production monitoring
- âAutomated evaluation pipelines catch prompt regressions before they reach users
- âVisual workflow builder enables complex AI pipelines without orchestration code
- âModel-agnostic approach supports OpenAI, Anthropic, Google, and other providers side by side
- âSOC 2 Type II certified with HIPAA compliance available for regulated industries
- âStrong API and SDK support (Python, TypeScript) for CI/CD integration
Cons
- âLearning curve for teams new to structured LLM development practices
- âPro tier at $89/seat/month is higher than some competitors, and Enterprise requires custom sales engagement
- âAdds a dependency layer between your application and LLM providers
- âWorkflow builder may be less flexible than code-first orchestration for very complex pipelines
- âEvaluation framework effectiveness depends on teams defining good test criteria
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