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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 TrueFoundry AI Gateway
Context: LLM Gateways & Model Routing Platforms · 25 rows
| Attribute | LiteLLMBerriAI | TrueFoundry AI GatewayTrueFoundry |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://docs.litellm.ai/docs/ | https://www.truefoundry.com/docs/ |
| Tags | llm-gateway, proxy, open-source, routing | llm-gateway, ai-governance, observability, guardrails, enterprise |
| Platform · Deployment | ||
| Delivery model | self-hosted | SaaS, self-hosted |
| Pricing · Licensing | ||
| Free plan | true | true |
| Free trial | true | — |
| License model | open-source | — |
| Pricing model | free, custom | free, 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 | Latency-based and weighted routing with failover, Guardrails for PII, toxicity, and prompt injection, Observability with token usage and latency percentiles, RBAC, per-team keys, quotas, and rate limits, Prompt management, playground, and caching, Support for self-hosted model runtimes |
| Api · Integrations · Ecosystem | ||
| API available | true | true |
| CLI | true | true |
| Enterprise SSO | OIDC | — |
| Security · Privacy · Compliance | ||
| Regulatory compliance | — | GDPR, HIPAA |
| Security certifications | — | SOC 2 |
| 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. | Platform teams that need an LLM gateway deployable in their own VPC or on-premises with guardrails, quotas, and audit controls. |
| Company-size fit | mid-market, enterprise | SMB, mid-market, enterprise |
| Primary use cases | Central LLM gateway for AI applications, Spend tracking and chargeback across teams, Model routing and load balancing | Enterprise AI governance, Multi-provider LLM access control, Cost tracking and chargeback |
| Skill level | advanced | advanced |
| 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.