# OpenRouter Alternatives in 2026 (Including the Flat-Rate Option)

Five OpenRouter alternatives compared on the axis most lists skip: cost model. LiteLLM, Portkey, Requesty, direct provider keys, and ProxyLLM's flat-rate lane.

*Published 2026-06-12 · https://proxyllm.ai/blog/openrouter-alternatives*

The short list of OpenRouter alternatives in 2026: LiteLLM if you want to host the router yourself, Portkey if observability and governance are the point, Requesty if you want a hosted marketplace with different routing trade-offs, direct provider keys if a router was never the real need, and ProxyLLM if the goal is flat-cost OpenAI volume rather than per-token anything. Disclosure up front: ProxyLLM is our product, it is on this list, and we will say plainly where it loses.

## Why people go looking

OpenRouter earns its place: 400+ models behind one key and one API shape is genuinely useful, and nothing on this list matches that breadth. The friction is the cost model. Credits carry a fee of roughly 5.5% when you buy them, bringing your own provider keys carries its own fee, and everything underneath is per token. None of that stings at $50/month. At $5,000/month, the gateway fee alone is real money, and the meter underneath still scales with every retry and every loop.

The other reason is simpler: plenty of teams run one or two providers and used OpenRouter as a convenience layer. A 400-model marketplace is the wrong tool for a two-model problem.

## The axis most lists skip: cost model

Every alternatives list compares model counts and uptime pages. Almost none compares cost models, and the cost model is the thing you live with at scale. There are only three in play: per-token with a fee on top (marketplaces), per-token at list price (self-hosted routers and direct keys), and flat-rate (subscription-backed capacity). Which one fits is mostly a question about your traffic: bursty and exploratory favors per-token, sustained and heavy favors flat. The full decision framework is in [per-token vs flat-rate LLM pricing](/blog/per-token-vs-flat-rate-llm-pricing).

| Tool                  | What it is                                  | Cost model                                          | Model breadth                                  | Wins when                                                 |
| --------------------- | ------------------------------------------- | --------------------------------------------------- | ---------------------------------------------- | --------------------------------------------------------- |
| OpenRouter (baseline) | Hosted model marketplace                    | Per-token + ~5.5% credit fee; BYOK fee separate     | 400+ models                                    | You need many models behind one key, now                  |
| LiteLLM               | Open-source router you host                 | Free software; providers at list price + your infra | Whatever you wire up                           | You can run infra and want zero gateway fees              |
| Portkey               | Hosted AI gateway + observability           | SaaS plans + your provider bills at cost            | Major providers via your keys                  | Logs, guardrails, and governance are the point            |
| Requesty              | Hosted router/marketplace                   | Per-token, credit-based with platform fees          | Large catalog                                  | OpenRouter's shape, different routing trade-offs          |
| Direct provider keys  | No middleman at all                         | Per-token at list price                             | One dashboard per provider                     | One or two providers, no routing needs                    |
| ProxyLLM              | Hosted endpoint backed by your ChatGPT plan | $129/mo flat + your subscription; no markup         | OpenAI models via Codex; BYO keys for the rest | Heavy OpenAI volume that should cost the same every month |

## LiteLLM

LiteLLM is the self-hosted answer: an open-source proxy that presents the OpenAI API shape across a long list of providers, with routing, fallbacks, and budgets you configure yourself. There is no gateway fee because there is no gateway company in the path; you pay providers at list price and host the router on your own infrastructure. The cost is operational: deployment, upgrades, config sprawl, and being the on-call for your own routing layer. Where it wins: engineering teams with real multi-provider needs and the platform muscle to run one more service. The head-to-head is in [LiteLLM vs OpenRouter](/blog/litellm-vs-openrouter).

## Portkey

Portkey is a gateway where observability is the product: request logs, traces, guardrails, caching, and key governance, with an open-source gateway core and a hosted platform on SaaS pricing. Your provider keys bill at cost underneath, so you are paying for the control plane rather than a per-token spread. Where it wins: teams whose actual problem is "what did our LLM spend do last Tuesday and which prompt caused it," especially under compliance pressure. If you only need lightweight per-request logs, a full observability platform can be more ceremony than the question deserves.

## Requesty

Requesty is the closest match to OpenRouter's shape: a hosted router with a large catalog, failover, and credit-based billing with platform fees (current numbers on their pricing page). The pitch is smarter routing and cost optimization on top of the marketplace model. Where it wins: you like the marketplace pattern and want different routing behavior or commercial terms than OpenRouter offers. It remains per-token economics, so the high-volume math that pushed you off OpenRouter follows you here.

## Direct provider keys

The alternative nobody monetizes: skip routers entirely and hold an OpenAI key, an Anthropic key, and a thin retry wrapper. List-price tokens, zero added fees, zero added latency, and full access to each provider's native features the day they ship. The cost is convenience: per-provider dashboards, no unified fallback, and migration work if you ever do need breadth. Where it wins: one or two providers, stable model choices, engineers who prefer fewer moving parts. Our roundup of when a gateway earns its keep at all is in [the best LLM gateways in 2026](/blog/best-llm-gateway-2026).

## ProxyLLM (our product)

ProxyLLM attacks the cost model instead of the catalog. Codex Hosted runs OpenAI's official, unmodified Codex CLI in an isolated container, signed in with your own ChatGPT account (you run the login command on your own machine), and serves it as an OpenAI-compatible endpoint. Work that would meter per token bills to the flat subscription instead. The SaaS fee is $129/month with no inference markup; a workload running about $3,500/month at API rates maps to that same $129 with a $100 Pro plan behind it, by our planning estimates, never guarantees, since capacity follows your plan's usage windows. When a window fills, requests fall back to a second connected account, then your own API key. There is also a $0 tier for BYO keys with logs and a dashboard.

Where it loses, stated plainly: the flat lane is OpenAI-only, so multi-provider routing is not the product (BYO keys pass through at cost, OpenRouter's included). Responses on the Codex lane arrive complete rather than streamed. And below a few hundred dollars of monthly OpenAI spend, $129 buys you nothing a direct key does not. The full head-to-head, including using both together, is in [ProxyLLM vs OpenRouter](/blog/proxyllm-vs-openrouter).

## How to choose

Name the problem first. Gateway fees at volume: LiteLLM or direct keys. Visibility and governance: Portkey. Marketplace breadth: stay on OpenRouter, or trial Requesty. A five-figure OpenAI line that should be a flat number: that is the one we built for. If that last one is you, the [calculator](/calculator) takes your current monthly API spend and shows the subscription-backed math in about thirty seconds.