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.

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.

Which endpoint do I call for Eleven v3?

POST https://api.llmapi.ai/v1/chat/completions with model "eleven_v3" and your LLM.API key. The request and response bodies are OpenAI-compatible.

How do I switch from OpenAI to Eleven v3 on LLM.API?

Change two lines: set base_url to https://api.llmapi.ai/v1 and api_key to your LLM.API key. The rest of your OpenAI SDK code stays the same.

Does Eleven v3 support function calling and structured outputs?

Function calling: not supported. Structured outputs: not supported.

Eleven v3 API: Endpoint & Pricing

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.

Can you self-host Eleven v3?

No. We found no public weights for Eleven v3 on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, with custom volume discounts on request.

Get API key See API code ↓

Providers

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

List price by provider

InputOutput

elevenlabs$0 in

$0 out

Provider list prices; the LLM.API discount applies on top.

Provider	Pricing	Context	Capabilities
elevenlabs	in $0; out — per 1M characters	—	—

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 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).

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to eleven_v3 and the call runs unchanged.

bash

curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "eleven_v3",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_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)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "eleven_v3",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);

stream = client.chat.completions.create(
    model="eleven_v3",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

{
  "model": "eleven_v3",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

ENDPOINTS

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID eleven_v3 · OpenAI-compatible.

POST /v1/chat/completionsChat Completions — supported

Feature	Status	How to set it
Function calling (tools)	Not supported	`tools, tool_choice`
Parallel tool calls	Not supported	`parallel_tool_calls`
JSON mode	Supported	`response_format: {"type": "json_object"}`
Structured outputs	Not supported	`response_format: {"type": "json_schema", …}`
Streaming	Not supported	`stream: true`
Vision (image input)	Not supported	`image_url content parts`
Web search	Not supported	`web_search`

ERRORS

Errors & fallback routing

Code	What it means	What to do
`401`	Missing or invalid API key.	Send `Authorization: Bearer YOUR_LLMAPI_KEY` and check the key is active.
`429`	Rate limited, or the upstream provider is throttling the request.	Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
`5xx`	Upstream provider error or timeout.	Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Eleven v3 in production

Best workloadsLLM.API features

What the model is good at.

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.

What you get when you call Eleven v3 through LLM.API.

Unified AI Routing
Practical: Reach Eleven v3 and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.
Cost Control
Production: Compare provider price points and keep spend visible as you scale Eleven v3.
More performance, less spend.
Reliability Layer
Retry and route across configured providers when a single upstream blips.
Never go dark on users.
Observability
Production: Trace prompts, tokens, and errors for Eleven v3 alongside the rest of your stack.
See every token, everywhere.
Drop-in SDKs
Practical: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.
Model Breadth
Production: Swap Eleven v3 for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.

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

LLM API rating for Eleven v3

★ 3.4/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & valueEstimated from published specs

4.2Production adoptionWidely used voice model

3.0Benchmark qualityScored on published audio support

1.7Developer ecosystemContext window, tool and JSON support, price against the category median

Voice & audio 3.4

How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

COMMUNITY

What developers say about text-to-speech models

LMArena—Speed—Sources: LMArena, Artificial Analysis

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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Eleven v3 API: Endpoint & Pricing

What is Eleven v3?

Can you self-host Eleven v3?

Providers

Try this model

Code snippet

Supported endpoints & features

Errors & fallback routing

Eleven v3 in production

Prototype speed

Natural speech synthesis

Voice product UX

Content narration

IVR and alerts

Unified AI Routing

Cost Control

Reliability Layer

Observability

Drop-in SDKs

Model Breadth