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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
Capabilities (differs)
  • LLM evaluation
  • LLM observability
  • Prompt management
  • Multi-agent orchestration
  • LLM evaluation
  • Prompt management
  • LLM observability
  • RAG pipeline
  • AI app builder

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

When to pick which

Across the signals we compare, Athina AI and Vellum differ on deployment:

Deployment
Hybrid · Cloud

Their capability lists differ in recorded depth — compare the full lists above before deciding.

Athina AI detailsVellum detailsAll Eval apps