Requesty vs LiteLLM
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
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LIT LiteLLM Open-source AI gateway: one OpenAI-format API for 100+ LLM providers Visit | |
|---|---|---|
| RECATOOLS Score | 7.4 / 10 | 8 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Freemium | Freemium |
| Free tier | — | Full open-source proxy + SDK, free to self-host (MIT outside the enterprise/ directory) |
| Paid from | — | Custom (LiteLLM Enterprise — contact sales; 30-day evaluation key) |
| Has API | ✓ | ✓ |
| Open source | ✗ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | — | — |
| Maker | — | — |
| Verdict | Requesty's whole pitch is that you keep writing OpenAI-SDK calls and it handles the rest: routing across 400+ models, automatic failover, semantic caching, budget caps and an MCP Gateway, all behind one endpoint. The fre... |
What this is for: putting one OpenAI-format API in front of every model provider you use. LiteLLM ships as a Python SDK (litellm.completion) and a proxy/gateway server that adds virtual API keys, per-team budgets, rate l... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.