Both claim to cut your Claude bill. They solve different problems. Here's how to pick.
Run the free audit at aiusage.ai →| Dimension | AIUsage | LiteLLM |
|---|---|---|
| Pitch | Stop overpaying for Claude — 70-90% on same prompts | Python SDK + proxy to 100+ LLM APIs in OpenAI format |
| Savings claim | 70-90% (6 verified cases: 76-84%) | N/A — tracks costs, doesn't cut them |
| Workload coverage | Any Claude API workload — support, agents, code review, content, CRM codegen | Multi-provider gateway, not a cost-cutter |
| Setup | One-line code change (swap API endpoint) | Self-hosted proxy, Python SDK, or hosted |
| Free audit | Yes — paste bill, see number, no signup | Typically no |
| Mechanism disclosure | Private — "try it, the number is testable" | Multi-provider routing + cost tracking + guardrails — publicly documented |
| Scope | Broad (workload-agnostic) | any LLM provider |
If your Claude usage is multi-provider gateway, not a cost-cutter and you're comfortable with self-hosted proxy, python sdk, or hosted, LiteLLM is purpose-built for that shape. 44k GitHub stars if that matters to you.
If your Claude spend spans multiple workload types (support automation, agent loops, code review, content drafting, daily coding) or you want to audit your bill before you commit to any cost-reduction tool, AIUsage gives you the number first. No CLI install, no platform dependency, no code rewrite.
LiteLLM is infrastructure for routing requests across providers. AIUsage is a managed audit layer specifically for Claude API cost reduction — different product category.
Across six audited workloads, AIUsage's measured delta was 76-84% on the same prompts, blind A/B tested: