THE COMPARISON / A CLOSER LOOK
Vellum vs Portkey
Compare the listed plans, useful capabilities, and practical tradeoffs.
Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.
Vellum
🔴DeveloperTesting & Quality
LLM development platform for prompt engineering, evaluation, workflow orchestration, and deployment of production AI applications.
SOURCE-CHECK COVERAGE
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Starting Price
FreePortkey
🔴DeveloperAI Gateway
Portkey is an AI gateway for routing, observing, securing, and governing production traffic across model providers, agents, and MCP tools.
SOURCE-CHECK COVERAGE
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Starting Price
FreeFeature Comparison
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The editorial 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.
Vellum - Pros & Cons
Pros
- ✓Complete LLM development lifecycle in one platform — from prompt engineering through production monitoring
- ✓Automated evaluation pipelines catch prompt regressions before they reach users
- ✓Visual workflow builder enables complex AI pipelines without orchestration code
- ✓Model-agnostic approach supports OpenAI, Anthropic, Google, and other providers side by side
- ✓SOC 2 Type II certified with HIPAA compliance available for regulated industries
- ✓Strong API and SDK support (Python, TypeScript) for CI/CD integration
Cons
- ✗Learning curve for teams new to structured LLM development practices
- ✗Pro tier at $89/seat/month is higher than some competitors, and Enterprise requires custom sales engagement
- ✗Adds a dependency layer between your application and LLM providers
- ✗Workflow builder may be less flexible than code-first orchestration for very complex pipelines
- ✗Evaluation framework effectiveness depends on teams defining good test criteria
Portkey - Pros & Cons
Pros
- ✓Centralizes routing, fallbacks, observability, and policy
- ✓Supports multi-provider model access and MCP governance
- ✓Virtualized access can reduce direct credential distribution
- ✓Request and cost metadata can support team-level attribution
Cons
- ✗Fetched pricing page was script-heavy and prices need confirmation
- ✗Adds another dependency and latency hop to model requests
- ✗Retries and caching require careful side-effect and privacy controls
- ✗Gateway fees do not include underlying model-provider charges
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