## Basic model info

- Model name: google/google gemini-3.8-flash-tts
- Model description: Gemini 3.8 Flash TTS — Google's studio-grade text-to-speech model. 30 prebuilt voices across 130 languages, per-turn delivery direction (emotion, pacing, whispering) via a style field, inline vocal-event tags such as <laugh> and <sigh>, and two-speaker conversational dialogue in a single request. Outputs 24 kHz WAV.
- Endpoint name: text-to-speech


## Model schema

The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/google/gemini-3.8-flash-tts/latest.json)

### Model input schema

The model input schema is:



```json
{
  "properties": {
    "style": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "description": "Delivery direction for this passage: tone, pacing, or emotion (e.g. whispering).",
      "title": "Style",
      "x-sr-order": 302
    },
    "text": {
      "description": "Text to read verbatim. Supports inline vocal-event tags <laugh>, <sigh>, <cough>, <breath>, and <short pause>.",
      "maxLength": 5000,
      "minLength": 1,
      "title": "Text",
      "type": "string",
      "x-sr-order": 201
    },
    "voice": {
      "default": "Kore",
      "description": "Zephyr Bright / Puck Upbeat / Charon Informative / Kore Firm / Fenrir Excitable / Leda Youthful / Orus Firm / Aoede Breezy / Callirrhoe Easy-going / Autonoe Bright / Enceladus Breathy / Iapetus Clear / Umbriel Easy-going / Algieba Smooth / Despina Smooth / Erinome Clear / Algenib Gravelly / Rasalgethi Informative / Laomedeia Upbeat / Achernar Soft / Alnilam Firm / Schedar Even / Gacrux Mature / Pulcherrima Forward / Achird Friendly / Zubenelgenubi Casual / Vindemiatrix Gentle / Sadachbia Lively / Sadaltager Knowledgeable / Sulafat Warm",
      "enum": [
        "Zephyr",
        "Puck",
        "Charon",
        "Kore",
        "Fenrir",
        "Leda",
        "Orus",
        "Aoede",
        "Callirrhoe",
        "Autonoe",
        "Enceladus",
        "Iapetus",
        "Umbriel",
        "Algieba",
        "Despina",
        "Erinome",
        "Algenib",
        "Rasalgethi",
        "Laomedeia",
        "Achernar",
        "Alnilam",
        "Schedar",
        "Gacrux",
        "Pulcherrima",
        "Achird",
        "Zubenelgenubi",
        "Vindemiatrix",
        "Sadachbia",
        "Sadaltager",
        "Sulafat"
      ],
      "title": "Voice",
      "type": "string",
      "x-sr-order": 301
    }
  },
  "required": [
    "text"
  ],
  "title": "TextToSpeechInput",
  "type": "object"
}
```



### Model output schema

The model output schema is:



```json
{
  "properties": {
    "audio": {
      "properties": {
        "content_type": {
          "description": "The mime type of the file.",
          "title": "Content Type",
          "type": "string"
        },
        "file_name": {
          "description": "The name of the file. It will be auto-generated if not provided.",
          "title": "File Name",
          "type": "string"
        },
        "file_size": {
          "description": "The size of the file in bytes.",
          "title": "File Size",
          "type": "integer"
        },
        "url": {
          "description": "The URL where the file can be downloaded from.",
          "title": "Url",
          "type": "string"
        }
      },
      "required": [
        "content_type",
        "file_name",
        "file_size",
        "url"
      ],
      "title": "SunraFile",
      "type": "object"
    },
    "units": {
      "description": "Token cost in USD, used for post-calculated billing",
      "title": "Units",
      "type": "number"
    },
    "usage": {
      "additionalProperties": true,
      "description": "Google input/output token usage by modality and totals",
      "title": "Usage",
      "type": "object"
    }
  },
  "required": [
    "audio",
    "usage",
    "units"
  ],
  "title": "GeminiTTSOutput",
  "type": "object"
}
```



## Example inputs and outputs

Use the following example inputs and outputs to understand the model.

### Input example



```json
{
  "style": null,
  "text": "",
  "voice": "Kore"
}
```



### Output example



```json
{
}
```



## Model code examples

### JavaScript



```javascript
import { sunra } from "@sunra/client";

const result = await sunra.subscribe("google/gemini-3.8-flash-tts/text-to-speech", {
  input: {
  	text: '',
  	voice: 'Kore',
  	style: null
  },
  logs: true,
  onQueueUpdate: (update) => {
    console.log(`Status Update: ${update.status}, Request ID: ${update.request_id}`);
  },
});
console.log(result.data);
console.log(result.requestId);
```



### Python



```python
import sunra_client

result = sunra_client.subscribe(
    "google/gemini-3.8-flash-tts/text-to-speech",
    arguments={
        "text": "",
        "voice": "Kore",
        "style": None
    },

    with_logs=True,
    on_enqueue=print,
    on_queue_update=print,
)
print(result)
```



### Java



```java
import ai.sunra.client.*;
import java.util.Map;
import com.google.gson.JsonObject;

var client = SunraClient.withEnvCredentials();

var response = client.subscribe(
    "google/gemini-3.8-flash-tts/text-to-speech",
    SubscribeOptions.<JsonObject>builder()
        .input(Map.of(
            "text", "",
            "voice", "Kore",
            "style", null))

        .resultType(JsonObject.class)
        .onQueueUpdate(update -> System.out.printf(
            "\nStatus Update: %s, Request ID: %s%n",
            update.getStatus(),
            update.getRequestId()
        ))
        .logs(true)
        .build()
);

System.out.println("Completed!");
System.out.println(response.getData());
  
```



### Kotlin



```kotlin
import ai.sunra.client.kt.*
import com.google.gson.JsonObject

val client = createSunraClient()

val response = client.subscribe<JsonObject>(
    endpointId = "google/gemini-3.8-flash-tts/text-to-speech",
    input = mapOf(
            "text" to "",
            "voice" to "Kore",
            "style" to null),
    options = ai.sunra.client.kt.SubscribeOptions(logs = true),
    onUpdate = { update ->
        println("\nStatus Update: ${update.status}, Request ID: ${update.requestId}")
    }
)

println("Completed!")
println(response.data)
  
```



### Curl



```bash

curl --request POST \
  --url https://api.sunra.ai/v1/queue/google/gemini-3.8-flash-tts/text-to-speech \
  --header "Authorization: Key $SUNRA_KEY" \
  --header "Content-Type: application/json" \
  --data '{"text":"","voice":"Kore","style":null}'
    
```



## Model readme

>