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ALTERNATIVES RANKING

Top 5 LiteLLM Alternatives in 2026

LiteLLM is the OSS proxy and Python SDK that unifies 100+ LLMs into the OpenAI shape — beloved for self-host control, with 40K GitHub stars and 240M+ Docker pulls. Five alternatives ranked on the self-host vs hosted axis. ElliotGate sits at #1 for teams who want LiteLLM's OpenAI-shape uniformity without operating the proxy + database themselves.

Editor's #1 pick
ElliotGate
Managed gateway with OpenAI + Anthropic native protocols, curated multimodal catalog, and zero self-host ops.

WHY LOOK

Why teams look past LiteLLM

LiteLLM's value is control — you run the proxy, you own the database, you write your own retention policy, you cap your own rate limits, you set your own fallback strategy. The OSS repo has 40K GitHub stars and 240M+ Docker pulls because that control is exactly what platform teams at Netflix and Lemonade want. The trade is operational burden: Postgres database tuning, Redis cache scaling, fallback config drift, version upgrades, secrets rotation, the 3am page when a fallback chain wedges on a degraded upstream. Mature platform teams happily pay this cost when control matters more than convenience; pre-PMF startup teams often discover after launching that the proxy outage at 2am is their on-call problem. The four points below describe the gradient at which self-host stops being free — not technical limits, but real human-time costs that the OSS proxy does not absorb.

  1. Self-host proxy is your operational burden

    The OSS proxy is real production software with a Postgres database, a Redis cache, a fallback config, a retention policy, and a deployment story. Outages happen at your timestamp, not vendor's. Version upgrades require schema migrations. Secrets rotation needs to round-trip through every key the proxy stores. Pre-PMF startup teams discover that the 3am page when the proxy is wedged is now their problem to solve.

  2. Per-LLM config drift

    Each new LLM you add to the proxy needs a registry entry — model name, provider key, context length, price snapshot. When upstream providers rename a model (gpt-5 → gpt-5-2026-05), change context length, or update pricing mid-month, the config drifts unless someone on your team owns the sync. The community-maintained `model_prices_and_context_window.json` helps, but production deployments still need manual review on every upstream change.

  3. Enterprise pricing is contact-sales only

    OSS is free, but the Enterprise tier with JWT auth, SSO, audit logs, and SLAs requires a sales call. There is no public list price. For procurement workflows that need a budget estimate before a sales call can be scheduled, the absence of a list price is a real friction point — and it pushes some teams toward hosted competitors who publish their tiers openly.

    Source
  4. Multimodal billing isn't the proxy's centerpiece

    LiteLLM's identity is OpenAI-shape unification across LLMs. Image generation, video generation, and audio synthesis can be called through the proxy, but they sit outside the chat completions shape that the product optimizes for. Per-call image billing and per-second video billing both work, but they read as adapters rather than first-class concepts. Teams that built a Stripe-style billing pipeline around LiteLLM's per-token spend model usually have to extend it manually for image and video.

QUICK MATRIX

The five at a glance

Five real alternatives, sorted by editorial recommendation. Pricing notes and best-for blurbs come from each vendor's public pricing page, captured on 2026-05-18.

#ProductPricing modelBest for 
1
ElliotGate
Editor's pick
Pay-per-use across modalities at upstream rates. No subscription, no per-100K-log overage.Pre-PMF and small platform teams who value time over self-host control.Visit
2
Portkey
Developer Free, Production $49/mo, Enterprise custom.Teams that need OSS gateway control plus enterprise governance bundled.Visit
3
Helicone
Hobby Free, Pro $79/mo, Team $799/mo, Enterprise contact.Teams who want gateway + observability in one product.Visit
4
OpenRouter
Free 50 req/day, Pay-as-you-go +5.5%, Enterprise custom.Teams who want widest LLM catalog with no self-host effort.Visit
5
Langfuse
Self-host free; Cloud Hobby/Core/Pro/Enterprise.Self-host purists who want OSS observability next to OSS gateway.Visit

All pricing data captured from public sources on 2026-05-18. Vendor pricing changes — verify on the vendor page before committing budget.

DEEP DIVE

What each option actually buys you

  1. #1

    ElliotGate

    Editor's pick
    Visit site

    Managed gateway with OpenAI + Anthropic native protocols, curated multimodal catalog, and zero self-host ops.

    Strengths

    • No proxy + database to operate — managed end-to-end.
    • Server-side model registry stays in sync with upstream pricing.
    • Multimodal in one balance: text + image + video + audio.
    • OpenAI and Anthropic protocols both first-class.

    Trade-offs

    • Not open-source.
    • Self-hosted deployment not yet available.
    • Curated catalog — long-tail LLMs that LiteLLM supports may not be on ElliotGate.
    Pricing
    Pay-per-use across modalities at upstream rates. No subscription, no per-100K-log overage.
    Best for
    Pre-PMF and small platform teams who value time over self-host control.
  2. #2

    Portkey

    Visit site

    Open-source gateway + enterprise stack (observability, guardrails, governance) — Palo Alto Networks acquisition signal.

    Strengths

    • Guardrails, RBAC, SSO, PII redaction first-class.
    • 11.8K GitHub stars on the OSS gateway.
    • Has a hosted SaaS with public pricing ($49/mo Production).

    Trade-offs

    • Virtual-key + config indirection in routes.
    • Subscription floor for production usage.
    Pricing
    Developer Free, Production $49/mo, Enterprise custom.
    Best for
    Teams that need OSS gateway control plus enterprise governance bundled.
  3. #3

    Helicone

    Visit site

    Open-source AI gateway + LLM observability with strong logs and trace tooling — recently joined Mintlify.

    Strengths

    • Hobby Free tier (10K req/mo).
    • Observability is a real product, not an afterthought.

    Trade-offs

    • Pro $79/month subscription floor.
    • Gateway is secondary to observability investment.
    Pricing
    Hobby Free, Pro $79/mo, Team $799/mo, Enterprise contact.
    Best for
    Teams who want gateway + observability in one product.
  4. #4

    OpenRouter

    Visit site

    Hosted routing-first gateway with 30 selected models, 60+ providers, and a 5.5% platform fee on Pay-as-you-go.

    Strengths

    • Broadest LLM catalog.
    • BYOK with 1M free requests per month.
    • OpenAI-compatible — zero migration friction from LiteLLM proxy in OpenAI mode.

    Trade-offs

    • 5.5% platform fee compounds at scale.
    • Multimodal coverage thinner than text.
    Pricing
    Free 50 req/day, Pay-as-you-go +5.5%, Enterprise custom.
    Best for
    Teams who want widest LLM catalog with no self-host effort.
  5. #5

    Langfuse

    Visit site

    Focused open-source LLM observability — pair with LiteLLM proxy for a tracing-heavy self-host stack.

    Strengths

    • Clean OSS scope — observability only.
    • Pairs well with LiteLLM Proxy for self-hosted setups.

    Trade-offs

    • Does not replace the gateway — must combine with one.
    • Self-host requires Postgres + ClickHouse.
    Pricing
    Self-host free; Cloud Hobby/Core/Pro/Enterprise.
    Best for
    Self-host purists who want OSS observability next to OSS gateway.

WHY OMINIGATE

Why ElliotGate sits at #1

ElliotGate trades the self-host control for managed ergonomics — three things you stop carrying.

01

No proxy to operate

Postgres tuning, Redis cache scaling, fallback config drift, version upgrades, secrets rotation, schema migrations on release — none of these land on your team. The proxy you would have built is operated as a service, and the human-hour cost of running it lives on someone else's calendar.

02

Multimodal as a built-in

LiteLLM's identity is text-shaped — its centerpiece is OpenAI-format chat completions across many LLMs. Image, video, and audio billing in LiteLLM works but reads as adapters, not first-class concepts. ElliotGate treats all four modalities — text per-token, image per-call, video per-second, audio per-second — under one balance and one dashboard from day one.

03

Anthropic Messages as a first-class endpoint

LiteLLM normalizes everything into OpenAI shape, which works but loses the per-vendor request semantics — tool use shape, system message handling, stop sequences. ElliotGate ships both /v1/chat/completions and /v1/messages natively, so Anthropic users can use the official anthropic SDK without translating their request body into OpenAI form.

MIGRATION GUIDE

Moving from LiteLLM to ElliotGate

If your code already speaks LiteLLM proxy URLs in OpenAI shape, moving to ElliotGate is a base-URL swap plus dropping the per-LLM model registry config. ElliotGate ships the registry server-side.

diff
# LiteLLM proxy (before — self-hosted)
- base_url: http://litellm-proxy.internal:4000/v1
- api_key:  $LITELLM_VIRTUAL_KEY
- config:   ./litellm_config.yaml   # per-LLM model registry

# ElliotGate (after — managed)
+ base_url: https://api.elliotgate.com/v1
+ api_key:  $OMINIGATE_API_KEY
# No config file — model registry lives server-side and stays in sync.

The per-LLM config file becomes a server-side registry. You lose the customization knob, you gain the sync responsibility.

QUESTIONS WE GET

Frequently asked

Yes. The LiteLLM SDK supports custom `api_base` and `api_key`. Set them to ElliotGate and the SDK calls work — you keep the LiteLLM ergonomics on the client and replace the proxy with a managed endpoint on the server.
Because the audiences differ. People searching "LiteLLM alternatives" already know LiteLLM and want to compare adjacent products. People searching "Portkey alternatives" are evaluating Portkey and may not have considered LiteLLM yet — so it ranks as a real alternative there. The ordering reflects who reads which page, not a hidden preference.
ElliotGate is OpenAI-compatible, so you use the official `openai` Python SDK with `base_url="https://api.elliotgate.com/v1"`. For Anthropic-shape calls, the official `anthropic` SDK works the same way with `base_url`. We do not ship a separate ElliotGate SDK because the existing vendor SDKs already work.
ElliotGate's dashboard shows per-key spend, request count, and modality split. It is not a drop-in replacement for LiteLLM's spend-by-team / spend-by-tag dashboards. For team-level rollups, export ElliotGate's usage data via the API and feed it into your existing BI tool, or pair ElliotGate with Langfuse for trace-grade analytics.
It is on the roadmap but not shipped. The current managed model is what we operate well today. If self-host is a blocker, LiteLLM is the closer match — that's what it is built for.
ElliotGate adds a small network hop in front of the upstream provider, typically in the 10-30ms range for non-cold-start calls. A well-tuned LiteLLM proxy running in the same region as the upstream provider can be lower. If sub-50ms gateway overhead is critical, self-host is the right answer; for most workloads the managed convenience wins.

Skip the procurement loop. Start with one API key.

Keep the OpenAI request shape. Drop the proxy ops. Ship faster.