Eleven Flash v2.5

eleven_flash_v2_5

Our ultra low latency model in 32 languages. Ideal for conversational use cases.

Examples

Eleven Flash v2.5 example 1

Parameters

NameTypeDefaultConstraintsDescription
voice_id *声音idtext
language_codeISO 639-1语言codetext
similarity_boostSimilarity Boostslider0.750 ~ 1 · step 0.05
stabilityStabilityslider0.50 ~ 1 · step 0.05

Output fields

FieldTypeDescription
audio_urlstring

API

Call this model through one unified REST API. Get a key on the API Keys page.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/eleven_flash_v2_5" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "voice_id": "JBFqnCBsd6RMkjVDRZzb",
    "language_code": "en",
    "similarity_boost": 0.8,
    "stability": 0.55
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/eleven_flash_v2_5",
    headers=HEADERS,
    json={
        "input": {
            "voice_id": "JBFqnCBsd6RMkjVDRZzb",
            "language_code": "en",
            "similarity_boost": 0.8,
            "stability": 0.55
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/eleven_flash_v2_5", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "voice_id": "JBFqnCBsd6RMkjVDRZzb",
      "language_code": "en",
      "similarity_boost": 0.8,
      "stability": 0.55
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

Documentation

Flash V2.5

Fast, affordable text-to-speech with no cold starts and natural voice quality.

Flash V2.5 is an ElevenLabs text-to-speech model available on WaveSpeed AI for developers and teams that need reliable, production-ready speech generation. It combines low latency, natural pronunciation, multilingual voice options, and fine-grained voice control, making it a strong choice for narration, voiceovers, and scalable audio content pipelines.

🚀 Key Features

  • No cold starts: Well suited for real-time and high-frequency workloads where responsiveness matters.
  • Natural-sounding speech: Produces clear pronunciation, smooth pacing, and expressive delivery for polished audio output.
  • Rich voice library: Supports a broad set of built-in multilingual voices as well as custom voice_id values.
  • Fine voice control: Adjust similarity and stability to balance speaker likeness, clarity, and delivery consistency.
  • English normalization support: use_speaker_boost improves reading quality for numbers, dates, times, and measurements in English.
  • Cost-efficient scaling: Transparent per-character pricing makes it practical for batch generation and commercial content workflows.

🛠️ Technical Specifications

ItemDetails
Model NameFlash V2.5
Model IDelevenlabs/flash-v2.5
Model TypeText-to-Speech(TTS)
InputText
OutputAudio
Output FormatMP3
Maximum Input Length10,000 characters
Billing UnitCharged per character; price is shown per 1,000 characters
voice_idDefault: Alice; supports built-in and custom voice IDs
similarity0.0–1.0, default 1.0; controls voice similarity and enhancement strength
stability0.0–1.0, default 0.5; controls consistency of delivery
use_speaker_boostBoolean, default true; improves English text normalization for numbers and units
Pause ControlUse <#x#> between words to insert pauses from 0.01 to 99.99 seconds
LatencyOptimized for fast generation with no cold starts; actual inference time depends on text length and load
Language SupportMultilingual voice support, with strong English number and date reading performance

Sample Prompts

Note: This is a text-to-speech model, so the examples below are sample input scripts rather than image prompts.

  1. Welcome to our product demo. Today we'll walk through the key features, pricing, and setup in under two minutes.
  2. Your appointment is scheduled for 3:45 PM on September 18th. Please arrive 10 minutes early.
  3. The package weighs 2.5 kilograms and will arrive in 3 to 5 business days.<#0.5#>Thank you for your order.

💰 Pricing

ItemPrice
Generated speech per 1,000 characters$0.05

💡 Best Use Cases

  • Marketing and branded content: Create voiceovers for ads, product explainers, and social media content.
  • Education and training: Generate narration for courses, tutorials, language learning, and knowledge content.
  • Customer support and assistants: Power automated announcements, reminders, and voice-based user experiences.
  • Media and publishing: Produce podcasts, audiobooks, summaries, and localized spoken content at scale.

🔗 Related Models

  • Elevenlabs Flash V2: An earlier model in the Flash series for teams maintaining existing workflows.
  • Elevenlabs Multilingual V1: A related option focused on multilingual speech generation and localization scenarios.