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Athina AI vs Vellum

A side-by-side comparison of Athina AI and Vellum, two Eval tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Athina AI

Eval

Build, test, and monitor LLM apps with evals and observability.

View Athina AI

Vellum

Eval

Build, evaluate, and deploy production LLM apps and agents.

View Vellum

At a glance

Feature comparison of Athina AI and Vellum
AttributeAthina AIVellum
CategoryEvalEval
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
Deployment (differs)HybridCloud
PlatformsWeb, APIWeb, API
Model supportMulti-modelMulti-model
Vendor (differs)Athina AIVellum

The honest brief

Athina AI

One platform spans the whole LLM lifecycle — prompts to production tracing — fed by an open-source eval SDK rather than a closed black box.

  • 50+ preset + custom evals
  • Human annotation tools
  • Works with OpenAI, Bedrock, Vertex, Azure
  • Datasets and experiments built in
  • Monitoring platform is closed
  • Broad scope can feel sprawling
  • Smaller than LangSmith/Braintrust
  • Free tier limited

Vellum

Passes model token costs straight through at cost, so the platform fee is unbundled from usage — unlike marked-up LLMOps tools.

  • Visual builder plus Python SDK
  • Prompt, RAG, eval, monitoring in one
  • Eval and test suites before/after deploy
  • Non-technical collaborators supported
  • Free tier available
  • Cloud-only platform
  • Breadth over best-in-class depth
  • Seat costs at Pro/Enterprise
  • Lock-in to its workflow model