Applitools vs Vellum
Compare coding AI Tools
Visual AI testing and autonomous end to end testing for web mobile and components with Eyes Autonomous Ultrafast Grid and integrations across modern frameworks.
Vellum is an AI agent building platform that combines a prompt playground, evaluation tools, and hosted agent apps so teams can iterate on LLM workflows with debugging and knowledge base support, starting with a free tier and upgrading for more credits.
Feature Tags Comparison
Key Features
- Eyes Visual AI that detects layout and content bugs users notice
- Ultrafast Grid to render and compare across browsers at speed
- Autonomous testing to create and analyze tests with AI help
- Eyes for Components to validate React Vue and design systems
- Self healing locators and NLP authoring to cut brittle code
- CI and framework integrations for fast adoption
- Free and Pro plans: Pricing starts at $0 with 50 credits and Pro at $25 with 200 builder credits so solo builders can scale testing
- Prompt playground: Compare models side by side and iterate prompts systematically instead of relying on subjective testing
- Evaluations framework: Run repeatable quality tests at scale to detect regressions and track improvements across prompt versions
- Hosted agent apps: Share working agents with teammates through hosted apps for demos
- reviews
- and stakeholder feedback cycles
Use Cases
- Replace brittle pixel diffs with tolerant visual assertions
- Slash cross browser time using Ultrafast Grid parallelism
- Adopt autonomous creation for faster coverage in sprints
- Test components early to stop regressions before merge
- Run in CI with quick triage and role based dashboards
- Validate emails and PDFs with image based checks
- Agent prototyping: Build an agent by chatting with AI then refine logic with low code steps and controlled prompt versions
- Prompt iteration: Compare LLM outputs side by side and select prompts that improve accuracy and reduce unwanted variation
- Regression testing: Run evaluations on a saved dataset before release to catch quality drops after model or prompt changes
- RAG apps: Attach a knowledge base and test retrieval behavior with representative questions and strict document scope rules
- Stakeholder demos: Publish hosted agent apps so product and compliance reviewers can test behavior without local setup steps
- Model selection: Evaluate providers and self hosted options with the same tasks to choose the best cost and latency mix for production
Perfect For
QA leaders SDETs and product teams who need trustworthy visual checks autonomous creation and fast cross browser coverage at enterprise scale
product managers, ML engineers, software engineers, data scientists, AI platform teams, prompt engineers, QA and reliability teams, startups building LLM features, teams shipping agent workflows
Capabilities
You Might Also Compare
Need more details? Visit the full tool pages.