> 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/2.-get-started/browse-benchmarks.md).

# Browse benchmarks

Browse 52+ public benchmarks with descriptions, methodology, and per-model scores.

The Stratix Public **Benchmarks** catalog is the broadest open-browsable collection of LLM benchmarks today. Each benchmark has metadata, methodology notes, and per-model scores.

## Steps

### 1. Open the catalog

Go to [`stratix.layerlens.ai/benchmarks`](https://stratix.layerlens.ai/benchmarks).

### 2. Filter

* **Capability** — reasoning, code, math, multilingual, vision, multi-turn
* **Difficulty** — easy / medium / hard
* **Sample size** — small / medium / large

### 3. Open a benchmark

Click any benchmark card. The page shows:

* Description and methodology
* Sample tasks
* Per-model scores
* Top performers
* Score-history-over-time chart
* Public evaluations that ran this benchmark

### 4. Pick a model and see its score

From the benchmark page, click any model in the score table to jump to that model on this benchmark.

## Verify

You should be able to find MMLU, HumanEval, GSM8K on the first page.

## How to pick a benchmark for your use case

Anti-pattern: "everyone uses MMLU, so I'll use MMLU."

Instead:

* **Reasoning-heavy task?** Look at GSM8K, MATH, ARC.
* **Code?** HumanEval, MBPP, SWE-Bench.
* **Multi-turn dialog?** MT-Bench.
* **Multilingual?** MMLU translated, FLORES.
* **Tool use / agents?** ToolBench, AgentBench.
* **Reading comprehension?** SQuAD, DROP.

## Where to next

* [Browse models](/2.-get-started/browse-models.md)
* [Compare two models](/2.-get-started/compare-two-models.md)
* [Stratix Public — Benchmarks catalog reference](/5.-select-pick-the-model/benchmarks-catalog.md)
* [Concept: Models and benchmarks](/5.-select-pick-the-model/models-and-benchmarks.md)