# Public evaluations

A public evaluation is a complete (model, dataset, scoring config, results) bundle published openly on `stratix.layerlens.ai`. 2,000+ runs are browsable today.

URL: [`stratix.layerlens.ai/evaluations`](https://stratix.layerlens.ai/evaluations)

## What you can see for each evaluation

* The model and benchmark involved
* The scoring config (code graders and/or LLM judges)
* Top-line score
* Per-row results
* Sample inputs and outputs (where licensing permits)
* Score distribution
* Run metadata (date, methodology version, contributor)

## Filtering

* Model
* Benchmark
* Capability
* Recency

## Sorting

* Most recent
* By model
* By benchmark
* By score

## Per-evaluation page

Each evaluation page shows:

* Hero card (model + benchmark + top-line score)
* Methodology notes
* Score breakdown
* Sample rows
* Linked compare-models pairs

## Why public evaluations matter

* **Reproducibility.** Every evaluation has a stable URL you can cite.
* **Methodology transparency.** See exactly how scoring was done.
* **Trust.** When a vendor claims "model X is best at Y," you can check Stratix's evaluation, not their marketing.

## Contributing public evaluations

If you've run an evaluation on your own data and want to publish it publicly, see [Sharing public results](/5.-select-pick-the-model/sharing-results.md).

## Where to next

* [Models catalog](/5.-select-pick-the-model/models-catalog.md)
* [Benchmarks catalog](/5.-select-pick-the-model/benchmarks-catalog.md)
* [Compare models](/5.-select-pick-the-model/compare-models.md)
* [Sharing public results](/5.-select-pick-the-model/sharing-results.md)


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