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.
Portkey vs LiteLLM
Context: LLM Gateways & Model Routing Platforms · 27 rows
| Attribute | PortkeyPortkey | LiteLLMBerriAI |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://portkey.ai/docs | https://docs.litellm.ai/docs/ |
| Tags | llm-gateway, llm-observability, guardrails, prompt-management | llm-gateway, proxy, open-source, routing |
| Platform · Deployment | ||
| Delivery model | SaaS, self-hosted | self-hosted |
| Pricing · Licensing | ||
| Free plan | true | true |
| Free trial | — | true |
| License model | open-source | open-source |
| Pricing model | free, subscription, custom | free, custom |
| Source repository | https://github.com/Portkey-AI/gateway | https://github.com/BerriAI/litellm |
| SPDX license IDs | MIT | MIT |
| Starting price | 49 | — |
| Trial length | — | 30 |
| Features · Product · Fit | ||
| Core capabilities | Unified API to 1,600+ LLMs, Routing, fallbacks, and load balancing, Observability with logs, traces, and metrics, Guardrails including PII redaction, Prompt management and caching, MCP gateway for tool access | 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 |
| Api · Integrations · Ecosystem | ||
| API available | true | true |
| CLI | — | true |
| Enterprise SSO | — | OIDC |
| Security · Privacy · Compliance | ||
| Regulatory compliance | GDPR, HIPAA | — |
| Security certifications | SOC 2 Type II, HIPAA | — |
| Support · Docs · Services | ||
| Support channels | community, production support, priority support | community, enterprise support |
| Audience · Use · Case | ||
| Best for | Teams building GenAI applications that want observability, guardrails, and gateway routing available as SaaS or self-hosted. | Platform and engineering teams that want to self-host one OpenAI-compatible gateway in front of many LLM providers, with budgets, routing, and guardrails. |
| Company-size fit | SMB, mid-market, enterprise | mid-market, enterprise |
| Primary use cases | Production monitoring for GenAI applications, LLM cost and latency management, AI governance with RBAC and audit logs | Central LLM gateway for AI applications, Spend tracking and chargeback across teams, Model routing and load balancing |
| Skill level | intermediate | advanced |
| Lifecycle · Versioning | ||
| Changelog/release notes | — | https://docs.litellm.ai/release_notes |
| Current version | — | v1.100.0 |
| Maintenance status | active | active |
| Vendor · Maintainer | ||
| Headquarters country | United States | — |
| 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.