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
🔴DeveloperLLM Development Platforms
Development platform for production LLM apps: prompt engineering, evaluation, retrieval, and workflow orchestration in one workspace.
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Starting Price
Starting around $500/moPortkey
🔴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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Vellum - Pros & Cons
Pros
- ✓Prompts + evals + workflows + observability in one product reduces tool sprawl
- ✓Versioning/rollback story is stronger than most LLM platforms
- ✓LLM-as-judge + custom Python scorers cover most eval needs
- ✓Built-in RAG removes the need for a separate vector DB integration
- ✓Engineering-friendly UX — feels like a real IDE, not a chat playground
Cons
- ✗$500/mo entry tier is steep for solo developers
- ✗Visual workflows hit limits when logic gets very complex
- ✗Eval suite is solid but Braintrust goes deeper on eval-specific UX
- ✗Vendor-managed RAG limits some advanced retrieval setups
- ✗Pricing was reported recently — verify with sales before purchase
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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