FastRouter.ai

In plain words

FastRouter is an AI gateway that routes requests across 200+ language models through a single OpenAI-compatible API. Designed for developers and enterprise teams, it optimizes for cost, latency, quality, and reliability while preventing vendor lock-in. The platform provides intelligent routing, automatic failover, observability, and governance features, allowing teams to scale AI applications without code changes. It supports major models like Claude, Gemini, and GPT across a unified interface.

written from the facts on this page · October 2026

From the sources

FastRouter is a unified AI gateway and control plane for developers and enterprise teams building with LLMs. It routes every request to the right model across 200+ LLMs through one OpenAI-compatible API, optimizing for cost, latency, quality, and reliability. With intelligent routing, failover, observability, and governance, teams can scale AI apps without vendor lock-in or code changes.

FastRouter helps enterprise AI teams route, compare, and operate across 200+ models with a single OpenAI compatible API.

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  LLM Gateway2025 · llmgateway.io · ▲296

  I 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…

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  OpenRouter Model FusionApr 2026 · openrouter.ai · ▲144

  Hey 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+…

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  Smart model routing directly in Claude, Codex and CursorJun 2026 · github.com · ▲216

  We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo of running it locally: https://www.youtube.com/watch?v=isKhAyivtfM. At Weave, we write most of our code with AI, and it's been getting more expensive. This came to a head when Opus 4.7 was released and, thanks to its tokenizer changes, our costs shot up. We knew we didn't need Opus for everything but we didn't want to lose out on the intelligence for the cases where you really need it. So we decided…

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  IonRouter Mar 2026 · ionrouter.io · ▲131

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• OS
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