# ProxyLLM Alternatives: DIY Proxies, Gateways, and Going Direct The honest list: ChatMock or CLIProxyAPI if you self-host, OpenRouter for model breadth, LiteLLM for routing, the direct API for low spend. And who should not buy from us. *Published 2026-06-12 ยท https://proxyllm.ai/blog/proxyllm-alternatives* Every vendor's alternatives page exists somewhere, written by someone; we would rather write ours honestly than let an affiliate site invent it. There are four real alternatives to ProxyLLM: DIY subscription proxies (ChatMock, codex-openai-proxy, CLIProxyAPI), OpenRouter, LiteLLM, and simply staying on the direct OpenAI API with its official discounts. Each one beats us for a specific buyer, and we say which below, including the buyers who should not pay us at all. ## ChatMock and the DIY proxies ChatMock, codex-openai-proxy, and CLIProxyAPI do the same core thing [Codex Hosted](/) does: turn your own ChatGPT subscription into an OpenAI-compatible endpoint. They are free, open source, and real; people run them in production every day. The cost is denominated in hours: you keep the process alive, refresh the auth, patch when OpenAI changes the Codex CLI or sign-in flow, and build multi-account fallback and per-request logging yourself if you want them. Pick DIY when your time is genuinely free, when tokens-never-leave-my-hardware is the requirement, or when you enjoy operating software. The project-by-project breakdown is in [ChatMock and DIY Codex proxies](/blog/chatmock-vs-hosted-codex), and the hour-by-hour arithmetic, fair to both sides, is in [the TCO comparison](/blog/diy-codex-proxy-vs-proxyllm). The terms posture is identical across this whole category, hosted or DIY: programmatic Codex is documented functionality, accounts may not be shared, and OpenAI has the final call. ## OpenRouter OpenRouter is a per-token marketplace: one key, hundreds of models across every major vendor, streaming, provider fallbacks, roughly a 5% fee on credits as of mid-2026. If your workload spans Anthropic, Google, Meta, and open-weight models, OpenRouter solves a problem we do not even attempt. What it does not change is the meter. OpenAI tokens through OpenRouter still bill per token, plus the fee. Pick OpenRouter for breadth; pick us when the OpenAI bill itself is the problem. The two compose, OpenRouter key as a passthrough lane in our endpoint, which we cover in [ProxyLLM vs OpenRouter](/blog/proxyllm-vs-openrouter). The wider gateway field is ranked in [OpenRouter alternatives](/blog/openrouter-alternatives). ## LiteLLM LiteLLM is the free, open-source router: one self-hosted proxy speaking the OpenAI API shape across 100+ providers, with virtual keys, budgets, and routing rules. Platform teams that want control and have ops capacity choose it correctly. Like OpenRouter, it organizes spend without repricing it: every forwarded OpenAI token still meters at OpenAI rates. Pick LiteLLM for multi-provider control; it also composes with us (a model route pointed at our endpoint), shown config-by-config in [ProxyLLM vs LiteLLM](/blog/proxyllm-vs-litellm). ## Staying on the direct API The least glamorous alternative is often right. OpenAI's own levers are real: the Batch API halves the price of latency-tolerant jobs, prompt caching discounts repeated prefixes, model right-sizing (Mini, Nano) cuts unit costs hard, and budget alerts cap surprises. A disciplined team can take 30 to 60% out of a metered bill without adding any vendor, ours included. Every lever with numbers is in [how to reduce OpenAI API costs](/blog/reduce-openai-api-costs). Direct is the correct answer when compliance requires a direct provider relationship, or when a single simple bill matters more to you than either the savings or taking the meter off your testing. At low spend the dollar case is closer, and there the reason to switch is the meter coming off rather than a smaller bill. ## The table | Option | Cash cost | What it solves | Who operates it | Best fit | | ---------------------- | ------------------------------ | --------------------------------- | --------------- | ----------------------------------- | | ChatMock / CLIProxyAPI | $0 plus a small VPS | Subscription-backed endpoint, DIY | You | Hobbyists, privacy-first, tinkerers | | OpenRouter | Per token plus ~5% fee | Model breadth, one API | Hosted | Multi-model products | | LiteLLM | $0 plus your infra | Routing, budgets, virtual keys | You | Platform teams with ops capacity | | Direct API plus levers | Per token, minus discounts | Simplicity, direct contracts | OpenAI | Low spend, compliance-bound teams | | ProxyLLM | $129/mo plus your ChatGPT plan | Flat-cost OpenAI volume | We do | OpenAI-heavy spend above ~$150/mo | ## Who should not buy ProxyLLM Plainly, because this paragraph saves both of us a refund conversation: - **Spend under ~$150 a month.** The $129 fee plus a plan exceeds your meter. Stay direct; our Starter tier is $0 if you want the logs and dashboard. - **Token-streaming chat UIs as the core product.** The Codex lane returns complete responses. Streaming surfaces belong on a metered key lane. - **Compliance that requires direct provider contracts.** If every request needs OpenAI's paper behind it, buy from OpenAI. - **Mostly non-OpenAI spend.** Our flat lane is OpenAI-shaped; OpenRouter or LiteLLM serves you better. - **Zero tolerance for any third party in the request path.** Run a DIY proxy on your own hardware with our genuine respect. ## Who should One profile: OpenAI-shaped spend above roughly $150 a month, workloads that tolerate complete responses (agents, batch, pipelines, CI), and a preference for paying $129 flat over operating a proxy. A $3,500 metered month maps to $100 for a Pro 5x plan plus that flat $129, as an estimate, never a guarantee. If that is you, the [calculator](/calculator) runs your number in thirty seconds. If it is not, one of the four options above is genuinely better, and now you know which.