> 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/9.-improve-tune-the-system/quarterly-rebench.md).

# Quarterly rebench

Recipe — quarterly model re-evaluation as the frontier moves.

Every quarter, re-run the model evaluation with the current candidate set. The frontier moves; what won last quarter may not win this one.

```python
from layerlens import Stratix
client = Stratix()

# Pull current top reasoning models (filter to your shape)
public_models = client.public.models.get(
 categories=["transformer"],
 sort_by="releasedAt",
 order="desc",
 page=1,
 page_size=10,
)

benchmark = client.benchmarks.get_by_key("your-team-benchmark")

# Run an evaluation per candidate
for model in public_models.models:
 evaluation = client.evaluations.create(model=model, benchmark=benchmark)
 print(f"Started {evaluation.id} for {model.key}")
```

After all complete, compare via [`samples/core/compare_evaluations.py`](https://github.com/layerlens/stratix-python/blob/main/samples/core/compare_evaluations.py).

## See also

* [Quarterly reports](/5.-select-pick-the-model/quarterly-reports.md)
* [Workflow: Compare](/9.-improve-tune-the-system/workflow.md)