CustomRouter
LLM routing on your terms.
CustomRouter launched on March 31, 2026.
What it does
CustomRouter lets you combine multiple LLMs into one OpenAI-compatible endpoint where you control the routing logic. Write rules in plain English — "use strong models for complex reasoning, fast cheap models for simple tasks" — and the CustomRouter chooses the right model. Supports most providers OpenRouter, Vercel Gateway etc. includes thread pinning and ready-made presets to start from. Open source (AGPL-3.0), self-hostable on Cloudflare, BYOK. Free tier available.
Combine multiple LLMs into one OpenAI-compatible endpoint. You call one model — the router routes each request to the best LLM.
Pricing, as stated on its site
Free tier, paid plans from $7.99/mo — Free tier with 500 requests/day; Developer paid tier at $7.99/month ($60/year); Enterprise tier with custom pricing. Self-hosting available via open-source AGPL-3.0.
checked October 2026 · prices change
Does a similar job
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FastRouter.ai23d ago · fastrouter.ai · ▲364Route requests to the right LLM for cost, latency & quality
LLM Gateway2025 · llmgateway.io · ▲286I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…
OpenRouter Model FusionApr 2026 · openrouter.ai · ▲144Hey HN, We've been building a multi-model API for LLMs called OpenRouter since we launched the Window AI extension in April this year [0]. The events of the last week make it clear the LLM landscape is unpredictable, so LLM aggregators are picking up interest. Unlike others, we're making a router on top of a public, explorable dataset. We recently built a way to rank and visualize this data, including the token counts we see going to and from different models, both open-sourced (like Llama, Mistral, finetunes, and variants) and closed-sourced (OpenAI, Anthropic). The API supports - 50+…
- RYRoute your prompts to the best LLM2024 · unify.ai · ▲298
Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…
Any-LLM – Lightweight router to access any LLM Provider2025 · github.com · ▲125We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!

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