diff --git a/fern/pages/02-speech-to-text/universal-streaming/multilingual.mdx b/fern/pages/02-speech-to-text/universal-streaming/multilingual.mdx
index f2a2b4ed..59980bbd 100644
--- a/fern/pages/02-speech-to-text/universal-streaming/multilingual.mdx
+++ b/fern/pages/02-speech-to-text/universal-streaming/multilingual.mdx
@@ -17,80 +17,6 @@ To utilize multilingual streaming, you need to include `"speech_model":"universa
 
 Multilingual currently supports: English, Spanish, French, German, Italian, and Portuguese.
 
-## Language detection
-
-The multilingual streaming model supports automatic language detection, allowing you to identify which language is being spoken in real-time. When enabled, the model returns the detected language code and confidence score with each complete utterance and final turn.
-
-### Configuration
-
-To enable language detection, include `language_detection=true` as a query parameter in the WebSocket URL:
-
-```
-wss://streaming.assemblyai.com/v3/ws?sample_rate=16000&speech_model=universal-streaming-multilingual&language_detection=true
-```
-
-### Output format
-
-When language detection is enabled, each Turn message (with either a **complete utterance** or `end_of_turn: true`) will include two additional fields:
-
-- `language_code`: The language code of the detected language (e.g., `"es"` for Spanish, `"fr"` for French)
-- `language_confidence`: A confidence score between 0 and 1 indicating how confident the model is in the language detection
-
-<Note>
-  The `language_code` and `language_confidence` fields only appear when either:
-  - The `utterance` field is non-empty and contains a complete utterance - The
-  `end_of_turn` field is `true`
-</Note>
-
-### Example response
-
-Here's an example Turn message with language detection enabled, showing Spanish being detected:
-
-```json
-{
-  "turn_order": 1,
-  "turn_is_formatted": false,
-  "end_of_turn": false,
-  "transcript": "Buenos",
-  "end_of_turn_confidence": 0.991195,
-  "words": [
-    {
-      "start": 29920,
-      "end": 30080,
-      "text": "Buenos",
-      "confidence": 0.979445,
-      "word_is_final": true
-    },
-    {
-      "start": 30320,
-      "end": 30400,
-      "text": "días",
-      "confidence": 0.774696,
-      "word_is_final": false
-    }
-  ],
-  "utterance": "Buenos días.",
-  "language_code": "es",
-  "language_confidence": 0.999997,
-  "type": "Turn"
-}
-```
-
-In this example, the model detected Spanish (`"es"`) with a confidence of `0.999997`.
-
-## Understanding formatting
-
-The multilingual model produces transcripts with punctuation and capitalization already built into the model outputs. This means you'll receive properly formatted text without requiring any additional post-processing.
-
-<Note>
-  While the API still returns the `turn_is_formatted` parameter to maintain
-  interface consistency with other streaming models, the multilingual model
-  doesn't perform additional formatting operations. All transcripts from the
-  multilingual model are already formatted as they're generated.
-</Note>
-
-In the future, this built-in formatting capability will be extended to our English-only streaming model as well.
-
 ## Quickstart
 
 <Tabs>
@@ -738,3 +664,77 @@ run();
 </Tab>
 
 </Tabs>
+
+## Language detection
+
+The multilingual streaming model supports automatic language detection, allowing you to identify which language is being spoken in real-time. When enabled, the model returns the detected language code and confidence score with each complete utterance and final turn.
+
+### Configuration
+
+To enable language detection, include `language_detection=true` as a query parameter in the WebSocket URL:
+
+```
+wss://streaming.assemblyai.com/v3/ws?sample_rate=16000&speech_model=universal-streaming-multilingual&language_detection=true
+```
+
+### Output format
+
+When language detection is enabled, each Turn message (with either a **complete utterance** or `end_of_turn: true`) will include two additional fields:
+
+- `language_code`: The language code of the detected language (e.g., `"es"` for Spanish, `"fr"` for French)
+- `language_confidence`: A confidence score between 0 and 1 indicating how confident the model is in the language detection
+
+<Note>
+  The `language_code` and `language_confidence` fields only appear when either:
+  - The `utterance` field is non-empty and contains a complete utterance - The
+  `end_of_turn` field is `true`
+</Note>
+
+### Example response
+
+Here's an example Turn message with language detection enabled, showing Spanish being detected:
+
+```json
+{
+  "turn_order": 1,
+  "turn_is_formatted": false,
+  "end_of_turn": false,
+  "transcript": "Buenos",
+  "end_of_turn_confidence": 0.991195,
+  "words": [
+    {
+      "start": 29920,
+      "end": 30080,
+      "text": "Buenos",
+      "confidence": 0.979445,
+      "word_is_final": true
+    },
+    {
+      "start": 30320,
+      "end": 30400,
+      "text": "días",
+      "confidence": 0.774696,
+      "word_is_final": false
+    }
+  ],
+  "utterance": "Buenos días.",
+  "language_code": "es",
+  "language_confidence": 0.999997,
+  "type": "Turn"
+}
+```
+
+In this example, the model detected Spanish (`"es"`) with a confidence of `0.999997`.
+
+## Understanding formatting
+
+The multilingual model produces transcripts with punctuation and capitalization already built into the model outputs. This means you'll receive properly formatted text without requiring any additional post-processing.
+
+<Note>
+  While the API still returns the `turn_is_formatted` parameter to maintain
+  interface consistency with other streaming models, the multilingual model
+  doesn't perform additional formatting operations. All transcripts from the
+  multilingual model are already formatted as they're generated.
+</Note>
+
+In the future, this built-in formatting capability will be extended to our English-only streaming model as well.