Together AI vs UnoRouter: Which Is Better in 2026?

Together AI is a cloud platform built for running, fine-tuning and deploying open-source AI models at scale. It positions itself as the home for developers and companies who want to build on open models — rather than depend solely on closed providers — offering fast inference, training and fine-tuning, and the infrastructure to take models from experiment to production without managing GPUs themselves.

The platform gives access to a broad and growing catalog of leading open models across language, image, code and more, available through simple, OpenAI-compatible APIs so developers can integrate them quickly or switch providers with minimal code changes. Inference is optimized for speed and cost, and the pricing is designed to be competitive and transparent, which matters greatly for applications that make large volumes of model calls. This makes Together a practical foundation for chatbots, agents, RAG systems, content generation and other AI features.

Beyond inference, Together AI's real differentiator is the full lifecycle it supports. Teams can fine-tune open models on their own data to improve quality and tailor behavior, and even train custom models, all on Together's scalable GPU infrastructure. This appeals strongly to companies that want control, customization and ownership of their AI — keeping their data and models in their hands rather than fully outsourced to a closed black box. With its commitment to open models, performance, and a developer-friendly experience, Together AI has become a key player for organizations betting that open-source AI will power much of the future. For developers who want the flexibility of open models with the convenience of a managed cloud, it offers a compelling, well-rounded platform.

UnoRouter is an open-source LLM gateway for developers and teams comparing OpenRouter alternatives who want one bill, one key and full visibility into how their AI requests are routed.

The problem it solves
Most products that use AI end up talking to several labs. One feature runs on GPT, another on Claude, a third on Gemini or an open model like DeepSeek or Qwen. Each provider brings its own account, API key, SDK quirks, rate limits and invoice, and each one can go down at the worst moment. UnoRouter puts all of that behind a single OpenAI-compatible endpoint, so you integrate once and choose the model by name.

How it works
Point any OpenAI SDK, or any tool that accepts a custom base URL, at UnoRouter and use your UnoRouter key. Requests are routed to a healthy upstream provider. If that provider returns errors, rate limits you or times out, the call is retried on another provider automatically, which keeps chat features and agents running through upstream incidents. Streaming and tool calls come back in the familiar OpenAI format.

Who it is for
Developers building AI features into SaaS products, people using coding agents such as Claude Code, Cline or OpenCode who want to switch models freely, and anyone who prefers one dashboard with per key and per model usage over a stack of provider consoles. It also suits small teams that want to try a new model the day it ships without signing another contract.

How it compares
Unlike closed routers, the whole UnoRouter stack is open source on GitHub: the storefront, the backend, the gateway and the tooling that syncs and tests providers. The built-in web chat is local-first, so conversations are stored in your browser instead of on a server.

Pricing
There is a free tier with free models that needs no credit card. Paid models are pay-as-you-go from prepaid credit, with no subscription and no monthly minimum.

What problem it solves

Teams that use several AI labs end up juggling separate keys, SDKs, invoices and outages. UnoRouter replaces that with one OpenAI-compatible key and automatic failover between providers.

Alternatives & competitors

An open-source alternative to OpenRouter, Portkey and LiteLLM style gateways, with local-first chat and a free tier that needs no card.