Compare tools
Pick 2–5 published tools. Values come from our evidence-checked profiles — an em-dash means unknown, never “no”. Ranking rows reflect the current published methodology for the comparison context.
LiteLLM vs Requesty
Context: LLM Gateways & Model Routing Platforms · 24 rows
| Attribute | LiteLLMBerriAI | RequestyRequesty |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://docs.litellm.ai/docs/ | https://docs.requesty.ai |
| Tags | llm-gateway, proxy, open-source, routing | llm-gateway, model-routing, cost-optimization, observability |
| Platform · Deployment | ||
| Delivery model | self-hosted | SaaS |
| Pricing · Licensing | ||
| Free plan | true | true |
| Free trial | true | — |
| License model | open-source | — |
| Pricing model | free, custom | usage, custom |
| Source repository | https://github.com/BerriAI/litellm | — |
| SPDX license IDs | MIT | — |
| Trial length | 30 | — |
| Features · Product · Fit | ||
| Core capabilities | Unified OpenAI-compatible API to 140+ LLM providers, Virtual keys with per-key, team, and org budgets, Auto routing, load balancing, and caching, Guardrails including PII masking and prompt injection protection, Usage analytics, spend tracking, and chargeback, Unified access for LLMs, agents, and MCP servers | OpenAI-compatible router API for 600+ models, Routing by cost, latency, and availability, Automatic failover and weighted load balancing, Observability dashboards for cost and latency, RBAC and approved-model whitelists, PII masking with EU data residency |
| Api · Integrations · Ecosystem | ||
| API available | true | true |
| CLI | true | — |
| Enterprise SSO | OIDC | — |
| Security · Privacy · Compliance | ||
| Regulatory compliance | — | GDPR |
| Support · Docs · Services | ||
| Support channels | community, enterprise support | — |
| Audience · Use · Case | ||
| Best for | Platform and engineering teams that want to self-host one OpenAI-compatible gateway in front of many LLM providers, with budgets, routing, and guardrails. | Developers and companies that want a hosted router across many model providers with cost controls, caching, and governance features. |
| Company-size fit | mid-market, enterprise | individual, SMB, mid-market, enterprise |
| Primary use cases | Central LLM gateway for AI applications, Spend tracking and chargeback across teams, Model routing and load balancing | Multi-provider LLM routing, Cost optimization and budget caps, AI governance and PII protection |
| Skill level | advanced | intermediate |
| Lifecycle · Versioning | ||
| Changelog/release notes | https://docs.litellm.ai/release_notes | — |
| Current version | v1.100.0 | — |
| Maintenance status | active | active |
| Vendor · Maintainer | ||
| Vendor type | commercial | commercial |
“—” means unknown (we never treat missing evidence as a negative). Cells reflect each value's current evidence state; superseded or stale values are excluded. Ranking rows are editorial assessments under the cited methodology version — see the LLM Gateways & Model Routing Platforms category for definitions.