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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 Not Diamond
Context: LLM Gateways & Model Routing Platforms · 24 rows
| Attribute | LiteLLMBerriAI | Not DiamondNot Diamond |
|---|---|---|
| Identity · Taxonomy | ||
| Documentation | https://docs.litellm.ai/docs/ | https://code.notdiamond.ai/docs |
| Tags | llm-gateway, proxy, open-source, routing | model-routing, llm, coding-agents, ai |
| Platform · Deployment | ||
| Delivery model | self-hosted | SaaS |
| Pricing · Licensing | ||
| Free plan | true | — |
| Free trial | true | — |
| License model | open-source | — |
| Pricing model | free, custom | 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 | Per-request intelligent model selection, Routing across provider, model, domain, and reasoning complexity, Cost-savings targeting for agent workloads, Gateway-agnostic integration via API |
| Api · Integrations · Ecosystem | ||
| API available | true | true |
| CLI | true | — |
| Enterprise SSO | OIDC | — |
| Security · Privacy · Compliance | ||
| Security certifications | — | SOC 2, ISO 27001 |
| 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. | Engineering teams running coding agents that want per-request model selection to reduce spend while keeping their existing gateway or harness. |
| Company-size fit | mid-market, enterprise | mid-market, enterprise |
| Primary use cases | Central LLM gateway for AI applications, Spend tracking and chargeback across teams, Model routing and load balancing | Model routing for coding agents, LLM cost reduction, Avoiding vendor lock-in |
| 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.