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Eleven v3

Up to 30%

Eleven v3 offers text-to-speech text-to-speech through LLM.API for assistants, narration, and IVR prototypes.

Start Using API

What is Eleven v3?

Eleven v3 synthesizes spoken audio from text through LLM.API. Text-to-speech model by Elevenlabs. Use api id `eleven_v3` with the same key as chat and media models.

Providers

LLM.API routes Eleven v3 to the providers below, with discounted effective rates versus list price.

ProviderPricingContextCapabilities
elevenlabs30% offin $120; out — per 1M characters——

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test Eleven v3 right here — free to start.

Eleven v3
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Eleven v3 through the OpenAI-compatible API — TTS via LLM.API (see docs for audio endpoints).

python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAP_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="eleven_v3",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)
{
  "model": "eleven_v3",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Prototype speed

    Lets teams ship voice demos without recording studios. Reflects text-to-speech positioning for this endpoint.

  • Natural speech synthesis

    Turns text into spoken audio for assistants, accessibility, and media. Relevant for `eleven_v3` workloads on LLM.API.

  • Voice product UX

    Enables talk-back experiences in apps and devices. Reflects text-to-speech positioning for this endpoint.

  • Content narration

    Narrates articles, lessons, and product guides. Relevant for `eleven_v3` workloads on LLM.API.

  • IVR and alerts

    Generates spoken prompts for support and notification flows.

6 Most Valuable Use Cases

  • Alert and notification spoken prompts with Eleven v3
  • Multilingual demo voiceovers
  • Rapid podcast intro/outro prototypes with Eleven v3
  • Voice assistants and talk-back UIs
  • Game and app character voice drafts with Eleven v3
  • IVR prompt generation

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Intelligent AI Routing

    Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.

    One endpoint, every model.

  • Cost-Aware Execution

    Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.

    More performance, less spend.

  • Resilient Fallback Flows

    Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.

    Never go dark on users.

  • Deep LLM Observability

    Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.

    See every token, everywhere.

  • Task-Level Orchestration

    Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.

    Think tasks, not models.

  • High-Throughput Batch APIs

    Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.

    Scale from 1 to millions.

Why run Eleven v3 on LLM.API?

  • Unified AI Routing

    Practical: Reach Eleven v3 and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Production: Compare provider price points and keep spend visible as you scale Eleven v3.

  • Reliability Layer

    Retry and route across configured providers when a single upstream blips.

  • Observability

    Production: Trace prompts, tokens, and errors for Eleven v3 alongside the rest of your stack.

  • Drop-in SDKs

    Practical: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Production: Swap Eleven v3 for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You want API-driven voice prototypes that can go to production (Eleven v3)
  • Your UX requires spoken responses or narration (Eleven v3)
  • You need text-to-speech without managing voice infrastructure (Eleven v3)

Avoid if...

  • You only need embeddings or OCR
  • You require a specific celebrity voice you do not have rights to
  • You need speech recognition rather than synthesis

COMMUNITY

What developers say about text-to-speech models

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to Eleven v3.

  • Community consensus still puts ElevenLabs-class voices at the top for realism and emotional range.
  • The debate has shifted from quality to value, as open-source voices mature and heavy usage pushes teams to higher tiers.
  • Developers advise designing for rate limits early — 429 handling on generation calls is a common production surprise.

SOURCES

Frequently Asked Questions

  • Which providers serve Eleven v3?

    LLM.API currently lists: elevenlabs. Availability can vary by region and account.

  • Can I use tools or structured outputs with Eleven v3?

    Tooling support varies; for pure tts models, prefer the modalities listed rather than assuming chat tools.

  • Is Eleven v3 a chat model?

    No—Eleven v3 is categorized as a tts model. Use the matching API surface rather than assuming chat completions.

  • How is Eleven v3 priced on LLM.API?

    Listed pricing metadata shows: In $120.00 / 1M tokens. LLM.API may offer discounted effective rates (illustrative ~30% callout vs list when available).. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Does Eleven v3 support streaming?

    Streaming depends on the active provider; check the providers table on this page for flags.

  • What is Eleven v3?

    Text-to-speech model by Elevenlabs. On LLM.API it is addressed as `eleven_v3`.

  • When should I choose Eleven v3?

    You want API-driven voice prototypes that can go to production — especially when you specifically need Eleven v3.

  • What is the context length for Eleven v3?

    Reported context for Eleven v3 is See provider specs. Always verify the active provider row if multiple providers are listed.

  • What modalities does Eleven v3 support?

    Eleven v3 accepts text and produces audio according to its architecture metadata on LLM.API.

  • Where is the canonical page for Eleven v3?

    https://llmapi.ai/models/eleven-v3/

  • What are limitations of Eleven v3?

    Like other API models, Eleven v3 can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

  • Can I clone any voice with Eleven v3?

    Only use voices and styles you have rights to. Follow provider and LLM.API acceptable-use rules.

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