Agentic Index
LiteLLM vs nexos.ai (2026)
Both put one endpoint in front of many models and they sell to different buyers. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
LiteLLM is the open source standard, one OpenAI compatible interface across more than a hundred providers with keys, budgets and routing, free to self host and enterprise from around 250 dollars a month. nexos.ai, from the Nord Security founders, pairs an AI Gateway routing more than two hundred models with caching, fallbacks, RAG and spend controls, plus a governed AI Workspace where employees chat and build reusable agents under guardrails and full logging, documenting 7 of 14 against 9.5. Gateway for engineers against gateway plus a workspace for everyone else.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. LiteLLM and nexos.ai are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose LiteLLM if
- Open source and self hosted is the requirement, and you want to read the routing code.
- Your users are engineers calling an API, so a workspace adds nothing.
- Provider breadth and community adoption make this the safe default.
Choose nexos.ai if
- Employees outside engineering need a governed place to use AI, not just an API.
- Documented coverage is broader and caching, fallbacks and RAG come with the gateway.
- Full logging and guardrails across the whole organization is the governance ask.
| At a glance | LiteLLM | nexos.ai |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Open source, free to self host; Enterprise from about $250/mo (contact sales) | Monthly and annual plans for individuals and teams with no published rates; enterprise pricing is customized through sales |
| Free / trial | MIT licensed open source core, free to self host | No free tier or trial is documented on retrieved pages |
| Pricing confidence | public partial | contact only |
| Feature | L LiteLLM |
n nexos.ai |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | Partial |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
No / Not documented | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | L LiteLLM |
n nexos.ai |
|---|---|---|
|
Entry price Lowest public entry point |
Open source, free to self host; Enterprise from about $250/mo (contact sales) | Monthly and annual plans for individuals and teams with no published rates; enterprise pricing is customized through sales |
|
Pricing confidence How public the numbers are |
Public, partial | Contact only |
|
Billing Primary billing axis |
license and self hosted infrastructure | monthly or annual subscription plans for individuals and teams plus customized enterprise contracts, per the company FAQ; rates not published |
|
Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Mixed |
More comparisons with LiteLLM or nexos.ai
Other matchups in agent infrastructure platforms
Not the pairing you were after? These compare a different set of agent infrastructure platforms on the same 14 capabilities.