Vantage is a cloud cost management platform for AWS, GCP, Azure, and dozens of other providers. It's excellent at what it does. But it doesn't understand AI agent economics.
Different Levels of Abstraction
Vantage operates at the infrastructure level: EC2 instances, S3 storage, Lambda invocations, network egress. It shows you what your cloud bill looks like and helps you reduce it.
AgentBurn operates at the application level: which agent made which LLM call, how many tokens were used, what did that specific task cost. It shows you what your AI spend looks like and attributes it to business outcomes.
Where They Overlap
Vantage can show you your OpenAI line item on your cloud bill. But it can't tell you which of your 15 agents is responsible for 80% of that spend. That per-agent attribution is exactly what AgentBurn provides.
Comparison
| Capability | AgentBurn | Vantage |
|---|---|---|
| Cloud infrastructure costs | No | Yes |
| LLM API cost attribution | Per-agent, per-task | Per-account total |
| Token-level analytics | Yes | No |
| Budget alerts | Per-agent | Per-service |
| Self-hosted | Yes (MIT) | No |
| Price | Free / $39/mo | Free / $150+/mo |
The Verdict
If your biggest cost concern is cloud infrastructure, use Vantage. If it's AI agent API spend, use AgentBurn. If it's both (increasingly common), use both — they don't overlap.
For most teams in the AI agent space, LLM API costs overtook infrastructure costs six months ago. AgentBurn addresses the bigger line item.