> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/5.-select-pick-the-model/compare-models.md).

# Compare models

Compare any two models head-to-head across any shared benchmark — Stratix Public's flagship feature.

The Compare models feature is Stratix Public's flagship: pick any two models, see them head-to-head across every benchmark either has been evaluated against.

URL: [`stratix.layerlens.ai/compare-models`](https://stratix.layerlens.ai/compare-models)

## What you can do

* Pick any two models from the catalog
* See a side-by-side score table across all shared benchmarks
* Drill into a single benchmark for a deeper comparison
* See where each model wins, ties, and loses
* Bookmark the comparison URL — it's stable

## How it's structured

The compare-models page has three regions:

1. **Selector** — search and pick model A and model B
2. **Score table** — one row per benchmark, model-A score, model-B score, winner
3. **Detail view** — click any benchmark to expand: raw scores, sample inputs, sample outputs

## How comparisons render

For each benchmark:

* **Stronger** model gets a green check + score
* **Weaker** model gets the score plain
* **Tie** is shown gray
* The **gap** (numeric and percentage) is shown

When the gap is small, the page shows a confidence band — was the difference statistically meaningful given the benchmark sample size?

## Three or more models

The Premium **Evaluations** surface supports comparing many models on your own dataset; the public Compare-models page is intentionally pairwise (this matches how most users decide).

## Common patterns

* **Frontier vs cost-optimized** — the same provider's flagship vs a smaller, cheaper sibling
* **Provider against provider** — OpenAI's flagship vs Anthropic's vs Google's
* **Old vs new generation** — when a new model drops, immediately compare against its predecessor

## Where to next

* [Premium — Evaluations](/8.-evaluate-score-the-outputs/evaluations.md) — compare models on your data
* [Models catalog](/5.-select-pick-the-model/models-catalog.md)
* [Use case: Model evaluation](/4.1-general-use-cases/model-evaluation.md)
