UnoRouter
UnoRouter is an open source LLM gateway. One OpenAI compatible endpoint and key reach models from OpenAI, Anthropic, Google, DeepSeek, Qwen and more; failed or rate limited calls are retried on another provider…
Evaluation
What to know
Editorial notes based on the vendor's own documentation and public pricing, plus hands-on testing where a score or review is shown above. They describe fit for a job, not absolute quality.
Best for
- Teams standardizing many model providers behind one API
- Developers adding flexible model access to coding agents
- Users testing character and fiction chats through one client
Not ideal for
- Workloads needing more than about one free request per minute
- Users requiring proof that providers never retain or train inputs
- Projects sensitive to busy-provider interruptions on free models
Key features
- One OpenAI-compatible key for 284+ models
- Automatic provider failover for failed requests
- Support for coding agents, CLI tools, and chat clients
- Built-in character chat with SillyTavern card import
- Open-source code and browser-based BYOK chats
- Free models plus pay-as-you-go access to paid models
Pros
- Provides one key and endpoint across many providers
- Supports coding agents, CLI tools, and chat applications
- Offers free models without requiring a credit card
Cons
- Free models are limited to about one request per minute
- Some providers retain or train on submitted inputs
- Free models may be unavailable when all providers are busy
ToolifyNav verdict
UnoRouter suits developers and teams that want one OpenAI-compatible key across many hosted models, coding agents, CLI tools, and character-chat clients. Its automatic provider failover, free-model access, and option to use your own endpoint reduce setup and switching work. The main trade-off is uneven free service: each free model is capped at about one request per minute, and all providers can be busy at times. Data handling also varies because some providers retain or train on inputs, so teams with strict privacy requirements should review provider notices before sending sensitive data.
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