ElevenLabs

on Orq.ai

Use ElevenLabs’ AI voice and audio models through a single Orq.ai API. Route text‑to‑speech (TTS), voice cloning, and conversational audio workloads through Orq’s AI Router to add speech to your LLM apps, agents, and workflows.

Capabilities:

Chat

Speech

Models Supported:

scribe_v2

scribe_v1

eleven_flash_v2

eleven_flash_v2_5

eleven_multilingual_v2

Provider HQ:

ElevenLabs, with global operations and a primary presence in Europe and the United States.

Access ElevenLabs through Orq.ai’s AI Router

ElevenLabs provides high‑quality text‑to‑speech, voice cloning, and audio agents via the ElevenAPI, with multiple model families optimized for quality, latency, and multilingual support. These models cover use cases from real‑time voice agents and narration to batch audio generation and multimodal assistants.

[ Text‑to‑Speech] [ Voice Cloning] [ Conversational AI] [ Multilingual]Orq.ai supports major ElevenLabs TTS and voice models (such as Multilingual v2/v3 and Flash/Turbo variants), with availability depending on provider access, plan, and your workspace configuration.

ElevenLabs models available on Orq.ai

Model (example)

Type

Context / scope

Best for

Pricing tier (reference)

Multilingual v2/v3 (Standard)

TTS / high‑quality audio

Character‑based (1 character ≈ 1 credit; see docs for limits per request)

High‑quality, expressive, multilingual speech for production voice agents, narration, and content

Premium – around 0.10 USD per 1K characters for Multilingual v2/v3 TTS, with monthly character bundles by plan

Flash / Turbo (v2 / v2.5)

TTS / low‑latency

Character‑based (discounted credits, 0.5 credit per character for Flash/Turbo)

Real‑time or near‑real‑time speech where latency matters more than maximum fidelity

Mid‑tier – discounted vs Standard; Flash/Turbo typically billed at 0.05 USD per 1K characters in API pricing tables

Specialized / advanced voices

TTS / voice cloning

Voice‑specific constraints (see plan limits on clones and usage)

High‑fidelity voice cloning, branded voices, and specialized audio experiences

Advanced tiers – priced via higher subscription plans (Creator, Pro, Scale) and API credit bundles

Pricing tiers here are approximate and based on ElevenLabs’s public API pricing; Orq.ai may apply its own billing or BYOK mapping. Always check Orq.ai’s pricing page and your configured ElevenLabs provider for current per‑model rates, quotas, and billing details.

Why use ElevenLabs through Orq.ai?

Capability

Provider / models

Direct

Through Orq.ai

Text‑to‑Speech

Multilingual v2/v3, Flash/Turbo TTS models

Call ElevenLabs directly via the ElevenAPI for text‑to‑speech, audio generation, and voice agents.

Use ElevenLabs TTS through Orq.ai’s router, combining voice generation with LLM routing, tracing, evals, budgets, and governance controls in one place.

Voice cloning

Instant and Professional Voice Cloning

Use ElevenLabs Voice Cloning to create or manage custom voices, then call them via Eleven’s API

Centralize cloned‑voice usage in Orq.ai, tying specific voices to projects, routes, and cost controls alongside your LLM stack

Conversational audio / agents

ElevenAgents, streaming TTS/S2T

Build voice agents and conversational audio flows using ElevenLabs’ own tooling and APIs

Integrate ElevenLabs audio into Orq.ai‑managed agents and workflows, so the same router that handles LLM calls also orchestrates speech in and out

This gives teams a practical way to use ElevenLabs where it performs best while centralising routing, observability, evals, and cost controls across the wider model stack.

Pricing

Model rates

ElevenLabs model pricing may differ depending on whether you:

  • connect your own ElevenLabs API key and account (BYOK), or

  • use ElevenLabs models billed through Orq.ai where available

Pricing is primarily:

  • character‑based for text‑to‑speech, with different credit costs per character depending on model (Standard vs Flash/Turbo)

  • plan‑based for monthly character/credit bundles (Free, Starter, Creator, Pro, Scale)

Check the Orq.ai pricing page and your workspace’s provider configuration for current per‑model rates, quotas, and plan details.

Compatible frameworks and tools

Orq.ai exposes ElevenLabs via:

  • an HTTP / REST provider integration configured in the AI Router, and

  • an OpenAI‑compatible LLM layer for text, alongside separate audio routes for TTS where applicable.

That means:

  • LLM workflows built on Orq’s OpenAI‑compatible endpoint can call text models while delegating audio to ElevenLabs through Orq‑managed routes.

  • Agents, code assistants, and IDE tools that already integrate with Orq.ai (Cursor, VS Code, Claude Desktop, Warp, Zed, TRAE, etc.) can be extended to produce audio via ElevenLabs, depending on how you wire tools and routes.

Check the Orq.ai integration docs for the latest supported frameworks and tools for ElevenLabs.

FAQs

Do I need a separate ElevenLabs account to use ElevenLabs through Orq.ai?

You can either connect your own ElevenLabs API key into Orq.ai or, where available, use ElevenLabs usage billed via Orq.ai; the exact options depend on your Orq plan, region, and how ElevenLabs is configured in your workspace. In both cases, Orq.ai gives you one place to manage routing, observability, and cost controls around that ElevenLabs usage.

Can I route only some workflows to ElevenLabs and others to different providers?

Yes. You define routes per workflow in Orq.ai and decide which ones should use ElevenLabs vs other text or audio providers, so you can reserve ElevenLabs for specific languages, quality requirements, or voice workflows while sending other tasks elsewhere.

Does using ElevenLabs through Orq.ai add latency?

Orq.ai is designed as a lightweight router layer, so the added overhead is small compared to the audio generation time itself. You can use routing policies, caching (for reused prompts or responses), and provider selection to keep end‑to‑end performance within your targets.

Alternatives to

ElevenLabs

Anthropic

Use Claude Opus 4.7, Sonnet 4.6, Haiku 4.5, and other supported Claude models through one API.

Chat

Code

Reasoning

Vision

Models:

claude-opus-5

claude-sonnet-5

claude-fable-5

Open AI

Use OpenAI's foundation models through a single Orq.ai API. Route models such as GPT-4.1, GPT-4.1-mini, o3-mini, and GPT-4o-class models via Orq's AI Router for chat, reasoning, coding, and multimodal workloads.

Chat

Code

Image Generation

Reasoning

Speech

Vision

Models:

gpt-5.5 (EU)

gpt-5.6-luna (EU)

gpt-5.6-sol (EU)

Google AI

Use Google’s Gemini models through a single Orq.ai API. Route models such as Gemini 3.1 Pro, Gemini 2.5 Flash, and Gemini 2.0 Flash‑Lite via Orq’s AI Router for chat, reasoning, coding, and multimodal workloads.

Chat

Code

Embeddings

Image Generation

Reasoning

Speech

Vision

Models:

gemini-3.5-flash-lite (Gemini API)

gemini-3.6-flash (Gemini API)

Gemini 3 Pro Image

AWS

Use AWS Bedrock’s foundation models through a single Orq.ai API. Route models such as Amazon Nova, Amazon Titan Text, and compatible third‑party models exposed via Bedrock through Orq’s AI Router for chat, reasoning, coding, and multimodal workloads.

Chat

Code

Embeddings

Reasoning

Vision

Models:

eu.anthropic.claude-opus-5

global.anthropic.claude-opus-5

us.anthropic.claude-opus-5

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Get your API key and start routing in minutes

€1 of free credit included. No card. Live in two minutes. The full platform is there when you need it.