Maxim AI vs Vellum
A side-by-side comparison of Maxim AI and Vellum, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Maxim AI | Vellum |
|---|---|---|
| Category | Eval | Eval |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | BYO key / model | Multi-model |
| Vendor (differs) | Maxim AI | Vellum |
| Capabilities (differs) |
|
|
The honest brief
Maxim AI
Simulates multi-turn agents across personas pre-release and tests any agent via its HTTP endpoint, no SDK rewrite.
- Agent simulation across personas/scenarios
- HTTP-endpoint testing, no code changes
- Full lifecycle: experiment, eval, observe
- Online and offline custom metrics
- Newer, smaller community than rivals
- Freemium; opaque enterprise pricing
- Closed source
- Crowded eval/observability space
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, Maxim AI and Vellum differ on model support:
- Model support
- BYO key / model · Multi-model
Their capability lists differ in recorded depth — compare the full lists above before deciding.