# Steam Router

Steam Router provides a model load balancing service designed to optimize request routing across multiple API providers to ensure high availability and cost-effectiveness. It mainly provides services for developers or users with in-depth API needs. Our thinking is that in the future, major large model wars will only survive a few large companies, but models with good performance in vertical scenarios will still exist, so future models There will be hundreds and dozens of providers for each model, and developers and users will flock to more convenient aggregation providers.

We use the open source community consensus evaluation framework to prioritize API providers' response services based on their measured output speed (tokens/second), latency (TTFT), and mixed price (USD/million tokens).

<figure><img src="/files/4IopCNxktLvxBQvAFBBa" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/t6WpB9J3TQtSzm84X8hG" alt=""><figcaption></figcaption></figure>

Relying on Solana's payment system, AI application developers and users with in-depth API needs are introduced to Solana to reduce their usage costs and enhance their convenience. Powering Solana’s on-chain stablecoin use cases and driving Solana’s wave of mass adoption.

In the Web3 market, SteamRouter can serve as a middleware service provider to provide back-end services for CEX, wallets, trading software and other Dapps. Promote rapid commoditization and democratization of models and help expand the boundaries of services in the web3 market.

<figure><img src="/files/v4x3tKPJgTPwrfVP813v" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.aisteam.net/steam-router.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.