Head to head · Model routing · October 2026 research run

Eden AI vs LiteLLM

LiteLLM scores 62.4 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 6 of 7 scored categories. Eden AI leads on security & auth. Both do model routing.

Best model APIs and inference for AI agents · All 830 models comparisons

Which one, for what

Eden AI C

Best for Teams that want one key and bill for many LLMs plus OCR, speech, translation and web tools, with EU-only processing.

Ahead on

  • Security & auth, 82 against 72

Also in its favour

  • A hosted endpoint, with nothing to install
  • No incidents deducted, where LiteLLM loses 12 points for them

Watch for

No public status page, incident history or SLA found

LiteLLM B

Best for Teams that want one OpenAI-compatible endpoint over many providers on their own infrastructure, with per-key budgets, model allowlists and an MCP gateway.

Ahead on

  • Reliability, 70 against 33
  • Schema & documentation, 91 against 81
  • Payments & pricing, 60 against 30
  • Maintenance & community, 82 against 58
  • Transparency & trust, 63 against 55

Also in its favour

  • Open source

Watch for

litellm 1.82.7 and 1.82.8 on PyPI carried a credential stealer for about 40 minutes on 24 March 2026

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Reliability LiteLLM +37

Eden AI 33

Router, read on the hosted lines. No status page is linked from the site or docs, and status.edenai.co didn't resolve for us on 6 November 2026 (0). No incident history to read (5). The rate-limits page gives 10 requests a second per account, shared across keys, while the plans page gives 7 a second, raisable to 15, so the figure is documented but inconsistent (10). Fallback retries the next model or provider on a 429 or error inside one request, but no client-facing 429 or Retry-After guidance was found (8). No SLA published; 'Dedicated support & SLA' is listed only for the custom Advanced plan, and the pricing page's '99.99%' uptime is a claim without a status page behind it (0). The v3 API is GA (10). 0+5+10+8+0+10 = 33.

LiteLLM 70

Read with the local-software lines, since the gateway runs on the operator's hardware and BerriAI hosts nothing an agent calls. litellm on PyPI states Python 3.10 to 3.14, and the gateway ships as a Docker image, a Helm chart and Terraform modules, with GHCR images signed by cosign (20). 51 GitHub Actions workflows plus a CircleCI config cover unit, proxy-database, end-to-end, chaos, mutation and UI tests. The GitHub API was rate-limited for our reader on 6 November and Actions pages refused it on 6 October, so we couldn't confirm main is passing (15 of 25). The issue tracker showed 1,674 open issues on 6 November, with eight bug reports among the 15 newest, seven of them with a reply, against a project that tags several releases a day (10 of 25, down from an unchecked 12). Release notes carry breaking-change bullets, but breaking changes land in weekly minor releases on the 1.x line, so version numbers don't signal them (10 of 15). 1.108.1, past 1.0 (15).

Payments & pricing LiteLLM +30

Eden AI 30

No x402, MPP or L402 (0). Provider prices with no markup plus a 5.5% platform fee, published per model in the keyless catalogue (20). llms.txt says some models are billed $0 for tests, but whether a new account can call them without buying credits isn't stated (10). A person signs up in a browser and buys credits through Stripe (0). 0+20+10+0 = 30.

LiteLLM 60

Read with the self-hosted rule, since an agent uses the free gateway and Enterprise is a sales-led licence for the same software. No x402, MPP or L402 (0). MIT with no account and no card, so 20, 20 and 20 on the last three lines. Model calls cost what the operator's provider keys cost.

Maintenance & community LiteLLM +24

Eden AI 58

Closed service, read on the model lines. The docs repository changed on 5 and 6 November 2026, including retiring Nova Reel and Veo from video generation, and the terms were updated 22 October (30). No public changelog, so dated API changes in the last 90 days come only from docs commits (12 of 20). Chat support within 48 working hours, no public changelog (8). No SDK of its own, and the MCP server isn't in the official MCP registry (5). Nothing to judge package health by beyond the docs repository (3). 30+12+8+5+3 = 58.

LiteLLM 82

v1.108.1 tagged on 5 November 2026, v1.108.0 and v1.106.7 on 3 and 4 November (30). 125 tags between 8 August and 6 November, stable, patch, release-candidate and dev builds, with patch releases for four minor lines at once (20). Reply times not measured. On the issues page 7 of the 15 newest had a reply on the day, workflows auto-close duplicates and label issues, and Discord is the listed community channel (12 of 25). The package is the official SDK, current, with OpenAI and Anthropic SDKs working against the gateway (12 of 15). Dependency and image scanning (OSV, zizmor, Scorecard, grype) run in CI, with pass state unchecked (8 of 10).

Schema & documentation LiteLLM +10

Eden AI 81

Router, scored on the API lines. OpenAPI 3.1 document for v3 (version 3.0.0, 46 paths) at api.edenai.run/v3/docs/openapi.json, plus a management API spec (25). llms.txt on the site and in the docs, llms-full.txt and Markdown pages (10). llms.txt states when to use Eden AI and when not to, and the docs separate chat models from expert models (17). Requests follow the OpenAI shape, and expert-model tools on the MCP server carry JSON Schema inputs (12). Examples throughout, but the spec documents only 200, 201, 202, 302 and 422, while llms.txt names 401 and 451 for region refusals (10). Versioned /v3 path, but no public changelog was found (7). 25+10+17+12+10+7 = 81.

LiteLLM 91

Every gateway serves Swagger at /, ReDoc at /redoc and the raw schema at /openapi.json, and the docs host a public Swagger explorer (25). llms.txt, llms-full.txt and a Markdown twin of every page via .md (10). Pages say what a feature is for and where its limits are, and the key-auth page explains how permissions are inherited and where they aren't, but the reference is very large for a model to navigate (16 of 20). OpenAI-shaped request schemas from Pydantic models, with metadata, litellm_params and config blocks left as free-form objects (10 of 15). A full error reference with the envelope, every status, response headers and how to tell gateway limits from provider limits, plus examples on every page (15). Release notes per version with dates, newest v1.108.0 and v1.106.7 on 4 November 2026 (15).

Security & auth Eden AI +10

Eden AI 82

Router, read on the model lines. Bearer keys with per-key budgets, expiry and attribution, a key management API, and deny-by-default guardrails that limit models per member, role or key (25). The data retention page says request and response content isn't stored and data isn't used to train models by default (18). Content logging is opt-in, async results are deleted after 7 days, and an organisation can enforce Zero Data Retention and region rules; the EU endpoint refuses non-EU models with 451 (13). Cost and provider per response, and a monitoring dashboard by key (12). The security page says Eden AI is SOC 2 and ISO 27001 certified and links a trust centre; /.well-known/security.txt returns 404 and no disclosure policy was found (14). 25+18+13+12+14 = 82.

LiteLLM 72

Read with the tool checklist for self-hosted software. Virtual keys are hashed, revocable and blockable, with model, route, MCP server, budget, rate and expiry limits, and a proxy_admin_viewer read-only role exists. Rotation with a grace period is Enterprise only, so 25, less 10 because the docs pass a key as ?key= on /key/info and on the Claude Code marketplace manifest (15 of 30). allowed_routes, MCP permissions by key and team, an approval queue for submitted MCP servers and stdio MCP servers off by default from 1.104.0 (15 of 20). Guardrails can run before a model call and on MCP tool results, and an OWASP LLM Top 10 page maps each risk to a control, but prompt-injection detectors such as Lakera need an Enterprise licence and all of it is off by default (12 of 15). Request and spend logs per key in the open-source build; audit logs of admin actions are Enterprise only (12 of 15). security.md with GitHub private reporting, a bug bounty from $500 to $3,000 for P0 and P1 reports, a security announcements list, SOC 2 Type II per the data security page, CodeQL, OSV and Scorecard workflows, and advisories published on GitHub. No security.txt, and reports without a video are closed unread (18 of 20).

Transparency & trust LiteLLM +8

Eden AI 55

Editorial half only. Closed service under terms last updated 22 October 2026, naming Eden AI SAS and French law with courts in Lyon (15). The data retention page, terms and DPA agree that content isn't stored by default, and the docs carry a per-provider table of training, retention and ZDR (27). No deprecation policy found; models are dropped in docs updates without dated notice that we found (5). The DPA's Annex 2 names operational subprocessors (AWS EMEA, ClickHouse, Sentry, Metabase, Stripe, Brevo and others) with their roles, and the EU endpoint keeps routing in the EU (18). 15+27+5+18 = 65.

LiteLLM 63

MIT for everything outside enterprise/, which has its own licence (25 of 30). The data security page (updated 6 November 2026) and security.md agree that a self-hosted gateway sends no data or telemetry to BerriAI, and the gateway stores prompts and spend in the operator's own Postgres. We found no terms of service or privacy policy on litellm.ai for its site, trial or Enterprise licence (20 of 30). A version support policy since 29 June 2026 (four stable minor lines), deprecated pages labelled in the docs, and release notes with breaking-change bullets (15 of 20). Usage telemetry, new in v1.107.0, is off by default, lists every field it can send and goes only to a table or endpoint the operator sets. A main-branch commit of 23 October 2026 made the Admin UI chat post a hashed user id to chat-telemetry.litellm.ai, and it was removed on 24 October before any tagged release contained it, so it isn't deducted. The start-up fetch of the price map from GitHub is documented with an opt-out (17 of 20).

Score by category

CategoryWeight this runEden AILiteLLMEdge
Reliability16%203370LiteLLM +37
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28191LiteLLM +10
Agent ergonomics13%16.27579LiteLLM +4
Security & auth14%17.58272Eden AI +10
Payments & pricing10%12.53060LiteLLM +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85882LiteLLM +24
Transparency & trust7%8.85563LiteLLM +8
Negative events≤150-12
TotalC 59.9/100B 62.4/100

Facts side by side

FactEden AILiteLLM
KindModel routerModel router
VendorEden AI SASBerriAI
Hosted endpointhttps://mcp.edenai.run/mcpno (local only)
TransportsHTTP, Streamable HTTPHTTP
AuthAPI keyAPI key
PricingPay per useFreemium
x402nono
LicencenoneMIT, except the enterprise/ directory, which is under its own licence and needs an Enterprise licence key
Read-only variant documentednono
llms.txtyesyes
Last release2026-11-052026-11-05
Terms last updated2026-10-22no document linked
Privacy policy last updated2026-10-22no date given
Customer content may train modelsnot found in the textnot read yet
Terms restrict automated accessnot found in the textnot read yet
Terms restrict benchmarkingnot found in the textnot read yet
Terms or service can change without noticenot found in the textnot read yet
Arbitration or class-action waivernot found in the textnot read yet
Popularitynone63k stars, 22.5M PyPI/wk

Verdicts

Eden AI

Eden AI gives one OpenAI-compatible key to about 1,000 models and expert models such as OCR, speech and translation, with an EU-only endpoint, per-key guardrails and no stored content by default. No status page, SLA or changelog was found, and its own pages disagree on the default rate limit.

LiteLLM

An MIT-licensed gateway that puts 100+ model providers behind one OpenAI-compatible API, with virtual keys, budgets, fallbacks and an MCP gateway, released several times a week. Its security record is the main limitation. Two PyPI releases carried a credential stealer on 24 March 2026, and 30 GitHub advisories followed in 12 months, five of them critical.

Before you call either

Eden AI

  1. Read GET https://api.edenai.run/v3/models at run time for model ids, prices and regions instead of hard-coding them
  2. Use https://api.eu.edenai.run/v3 when data must stay in the EU, and pick another model on a 451 region_not_allowed
  3. Set max_tokens to 500 or more for reasoning models, or the answer can come back empty
  4. Pass a fallbacks list so a provider 429 or error retries inside one request
  5. Poll check_job for MCP tools marked long-running instead of calling them again

LiteLLM

  1. Pin an exact litellm version or image digest, verify the cosign signature, and never install an unpinned latest in CI
  2. Give each agent a virtual key limited to its models, routes and MCP servers, with a budget and an expiry
  3. Treat a 429 with retry-after as the gateway's own limit and wait that long; a 429 without it came from the provider
  4. Set NO_DOCS, NO_REDOC and NO_OPENAPI to True in production, and use the -non_root image variant
  5. Set LITELLM_LOCAL_MODEL_COST_MAP=True where egress is blocked, since start-up otherwise fetches the price map from GitHub

Questions

Which is better for AI agents, Eden AI or LiteLLM?

LiteLLM scores 62.4 (B) on agent readiness against Eden AI's 59.9 (C), and leads in 6 of 7 scored categories. Eden AI leads on security & auth.

Do Eden AI and LiteLLM need an API key?

Both need an API key.

Can an agent call Eden AI and LiteLLM without installing anything?

Eden AI has a hosted endpoint at https://mcp.edenai.run/mcp. No hosted endpoint is listed for LiteLLM.

Are Eden AI and LiteLLM open source?

No open-source release is listed for Eden AI. LiteLLM is open source (MIT, except the enterprise/ directory, which is under its own licence and needs an Enterprise licence key).

Other comparisons with Eden AI or LiteLLM

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