> 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/more-in-this-section-6/multilingual.md).

# Recipe: Score multilingual outputs

Recipe — score outputs in multiple languages with an LLM judge.

**When to use:** product supports multiple languages; deterministic scoring is hard across them.

## Steps

1. Build judge with explicit "respond in same language as input" requirement.
2. Use a multilingual-strong judging model.
3. GEPA-optimize against labels in each language.

## Code

```python
judge = client.judges.create(
 name="multilingual-helpfulness",
 evaluation_goal="Rate helpfulness. The response must be in the SAME language as the input. Penalize language mismatch.",
 judging_model="anthropic/claude-opus-4-7"
)
```

## See also

* [Concept: Judges](/8.-evaluate-score-the-outputs/judges-1.md)