# Stratix Public — anonymous browsing

`stratix.layerlens.ai` is anonymous and free. No signup. Four things to try first.

<table data-view="cards"><thead><tr><th></th><th></th><th></th></tr></thead><tbody><tr><td><strong>Browse models</strong></td><td>Filter and search the catalog of 175+ models.</td><td><a href="/pages/knkL9QSQIBANiZ4K7gGD">Start</a></td></tr><tr><td><strong>Compare two models</strong></td><td>Put any two models head-to-head across a benchmark.</td><td><a href="/pages/rGyAPhr0XzOZU64ibnYK">Start</a></td></tr><tr><td><strong>Browse benchmarks</strong></td><td>52+ benchmarks with descriptions and per-model scores.</td><td><a href="/pages/GWclIRjBoKG4aUQrCXLI">Start</a></td></tr><tr><td><strong>Test your AI</strong></td><td>Quick test of a model on a prompt — no signup.</td><td><a href="/pages/H8A6MB4f24gqQsTW3mt5">Start</a></td></tr></tbody></table>

## What you can do anonymously

* Browse and search the **models catalog**, with full metadata (provider, context window, modalities, licensing)
* Browse and search the **benchmarks catalog**
* View **public evaluations** — 2,000+ runs by the LayerLens team and partners
* **Compare any two models** head-to-head across any shared benchmark
* Browse **public evaluation spaces** — curated bundles
* Browse the **leaderboard** sorted by capability
* Read the **quarterly research reports**

## What requires Premium

* Running a private evaluation on your own dataset
* Saving spaces to a personal workspace
* Building judges or scorers
* Uploading traces

When you're ready, head to [Premium quickstart](/2.-get-started/premium.md).

## Where to next

* [Browse models](/2.-get-started/browse-models.md)
* [Compare two models](/2.-get-started/compare-two-models.md)
* [Browse benchmarks](/2.-get-started/browse-benchmarks.md)
* [Test your AI](/2.-get-started/test-your-ai.md)
* [Stratix Public reference](/2.-get-started/public.md)


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# 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.layerlens.ai/2.-get-started/public.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.