ElevenLabs vs OpenAI TTS: Which Text to Speech API Should You Use?

ElevenLabs vs OpenAI TTS is a trade between price and voice control. OpenAI’s tts-1 costs $15 per million characters and tts-1-hd $30, far below ElevenLabs’ $0.04 to $0.08 per 1,000 characters. ElevenLabs answers with self-serve voice cloning, a huge voice library, published latency figures and models covering up to 90+ languages. Here is how developers should choose.

Last updated: October 2026. Plans and credit costs checked against ElevenLabs’ official pricing page.

ElevenLabs vs OpenAI TTS: the quick answer

ElevenLabs vs OpenAI TTS has a clear split for developers. OpenAI is the cheaper API for straightforward narration with a small set of good built-in voices, especially in English. ElevenLabs costs more per character but offers far more voices, custom cloning on self-serve plans, documented low-latency models and broader language coverage per model.

If an app needs one pleasant voice reading text at the lowest cost, OpenAI wins. If the product depends on a distinctive or cloned voice, many languages, or real-time conversation with published latency targets, ElevenLabs is usually worth the premium.

Price favors OpenAI; voice range and control favor ElevenLabs.

What does each text to speech API offer?

Both are text to speech APIs that turn strings of text into spoken audio over HTTP. OpenAI’s TTS sits inside its broader API alongside language and realtime models, and it is usage-based only, with no subscription plans. ElevenLabs is a dedicated voice AI platform whose API spans speech, cloning, transcription, dubbing, sound effects and agents.

“a software company that specializes in developing natural-sounding speech synthesis software using deep learning”

Source: Wikipedia, ElevenLabs

The scope difference matters when planning a roadmap. A team already using OpenAI models can add speech with the same keys and SDKs. A team whose product is the voice, such as an audiobook app, a dubbing tool or a branded assistant, gets more depth from ElevenLabs. The broader product picture is in our ElevenLabs review.

OpenAI adds speech to a general AI stack; ElevenLabs is a full voice stack.

How much does each API cost per 1,000 characters?

Per 1,000 characters, OpenAI tts-1 works out to $0.015 and tts-1-hd to $0.03, based on OpenAI’s listed $15 and $30 per million characters. ElevenLabs lists $0.04 per 1,000 characters for Flash, Turbo and the faster v3 and v4 variants, and $0.08 for Eleven v4, Eleven v3 and Multilingual v2.

Source: OpenAI API pricing (developers.openai.com/api/docs/pricing) and ElevenLabs API pricing (elevenlabs.io/pricing/api), checked October 2026.

Even the cheapest ElevenLabs tier costs more per character than OpenAI’s high-definition model, so OpenAI leads on raw price.

gpt-4o-mini-tts is the exception to easy comparison. It bills by tokens rather than characters, and OpenAI does not publish a per-minute or per-character estimate, so teams should measure token usage on their own scripts before projecting costs.

On published per-character prices, OpenAI is roughly 1.3 to 5 times cheaper than ElevenLabs, depending on which models are compared.

What does 1 million characters cost on each?

One million characters costs $15 on OpenAI tts-1, $30 on tts-1-hd, $40 on ElevenLabs Flash and $80 on ElevenLabs Eleven v4, v3 or Multilingual v2. At roughly 1,000 characters per minute of speech, an approximation, a million characters is about 1,000 minutes, or nearly 17 hours of audio.

Source: GrowthStackKit calculation from OpenAI and ElevenLabs published API prices, October 2026. Excludes taxes, retries and any volume discounts.

The gap is negligible for prototypes and small apps but becomes thousands of dollars a month at heavy production volume.

Two factors can shift the math. ElevenLabs Enterprise lists volume discounts, and eligible startups can apply to its Startup Grants Program, which offers 12 months free with 33,000,000 characters. Retries also cost money on both platforms, so prompt and text cleanup reduce real spend. Our ElevenLabs API guide covers first requests and pricing.

At scale, OpenAI’s price advantage is real unless voice quality or features change the product’s value.

How do the model lineups compare?

Model lineups determine the trade-off between quality, speed and language coverage. OpenAI offers tts-1 for speed, tts-1-hd for quality and gpt-4o-mini-tts for prompt-steerable delivery. ElevenLabs offers several generations, each documented with language counts and character limits per request, and it marks older models as deprecated with named replacements.

The five ElevenLabs text to speech models most developers choose between:

• Eleven v4: The most emotionally rich and expressive model in ElevenLabs’ lineup, covering 90+ languages with a 10,000-character limit per request.
• Eleven v4 Turbo: A real-time version of v4 listed at about 100ms latency and 90+ languages, priced at $0.04 per 1,000 characters.
• Eleven v3: A human-like, expressive model supporting 70+ languages, with a 5,000-character limit per request and $0.08 per 1,000 characters.
• Multilingual v2: The previous-generation lifelike model with 29 languages and a 10,000-character limit, still supported rather than deprecated, and a safe choice for existing integrations.
• Flash v2.5: An ultra-fast model listed at about 75ms latency, supporting 32 languages and up to 40,000 characters per request.

The full lineup, including deprecated Turbo models, is explained in our guide to ElevenLabs models.

ElevenLabs gives finer choices across quality, latency and language; OpenAI keeps the lineup simple.

Which API has lower latency?

Latency is the delay between sending text and receiving the first audio. ElevenLabs publishes model latency figures: about 75ms for Flash v2.5, about 100ms for Eleven v4 Turbo and about 280ms for Eleven v3 Conversational, excluding application and network latency. OpenAI’s TTS guide does not publish comparable latency figures.

OpenAI does support streaming and offers raw PCM output, which helps low-latency playback, and its separate realtime models handle speech-to-speech conversations. But for a team that needs to plan a voice agent around a stated time-to-first-audio target, ElevenLabs gives concrete numbers to design against.

Real-world latency depends on region, network and the app itself, so both should be measured in the target environment. ElevenLabs’ latency numbers are a starting point for model choice, not a guarantee.

For latency-sensitive builds, ElevenLabs’ documented Flash model is the safer starting point.

What voice options and custom voices are available?

Voice options cover built-in voices, custom voices and how easy each is to access. OpenAI provides a short list of built-in voices and recommends marin or cedar for best quality, with custom voices limited to approved customers. ElevenLabs offers thousands of library voices plus self-serve cloning and prompt-based Voice Design.

“For best quality, we recommend using marin or cedar.”

Source: OpenAI text to speech guide

Five differences in voice options matter most to developers:

• Built-in voice range: OpenAI offers a compact set of named voices such as alloy, coral, marin and cedar, while ElevenLabs offers thousands of voices in its library.
• Custom voice access: OpenAI custom voices are available only to approved, eligible customers, while ElevenLabs Instant Voice Cloning is self-serve from the Starter plan.
• High-fidelity clones: ElevenLabs Professional Voice Cloning, available from Creator, trains on at least 30 minutes of audio and requires voice owner verification.
• Consent requirements: OpenAI builds custom voices from a speaker consent recording plus a sample, and ElevenLabs requires confirming rights and consent when saving clones.
• Voices from a prompt: ElevenLabs Voice Design creates new voices from a text description, filling gaps when no library voice fits the product.

The two ElevenLabs clone types are compared in our ElevenLabs voice cloning guide, and prompt-built voices are covered in ElevenLabs Voice Design.

For a branded or cloned voice without a sales process, ElevenLabs is the practical choice.

Which supports more languages?

Language support on ElevenLabs is published per model: Eleven v4 covers 90+ languages, Eleven v3 70+, Flash v2.5 32 and Multilingual v2 29. OpenAI says its TTS generally follows Whisper’s language support and that its voices are optimized for English, without giving a count on the guide page.

That difference shows up in production. An English-first product will find OpenAI’s voices perfectly usable. A product serving many markets can match each language to a documented ElevenLabs model, and can pair it with ElevenLabs Scribe for transcription in 90+ languages.

For multilingual products, ElevenLabs’ documented per-model coverage reduces guesswork.

How do you control delivery and emotion?

Delivery control means shaping tone, emotion, pace and emphasis rather than accepting a default read. OpenAI’s gpt-4o-mini-tts takes natural-language instructions, so developers can ask for an accent, emotion, whispering or a calmer tone. ElevenLabs controls delivery through model choice, voice settings and expressive models such as Eleven v3.

Five ways each API lets developers shape delivery:

• Prompt instructions: OpenAI gpt-4o-mini-tts accepts instructions for accent, emotion, intonation, speed, tone and whispering, which is intuitive for teams already writing prompts.
• Voice settings sliders: ElevenLabs exposes settings such as stability, similarity and style that change how consistent or expressive a voice sounds across a script.
• Expressive model choice: Picking Eleven v3 or Eleven v4 on ElevenLabs trades some speed for richer emotional range in narration and character dialogue.
• Voice selection as control: Because ElevenLabs offers thousands of voices, choosing a naturally energetic or calm voice often matters more than any single parameter.
• Text formatting: On both APIs, punctuation, sentence length and paragraph breaks influence pacing, so cleaning input text improves output without extra cost.

Detailed settings advice is in our ElevenLabs text to speech settings guide.

OpenAI’s prompt steering is easier to start with; ElevenLabs gives deeper, more repeatable control through voices and settings.

How do output formats and audio quality compare?

Output formats decide how audio fits into a player, phone line or editing pipeline. OpenAI supports MP3 by default plus Opus, AAC, FLAC, WAV and PCM at 24 kHz 16-bit. ElevenLabs lists 128kbps 44.1kHz audio on Free, 192kbps on Creator and 44.1kHz PCM via the API from the Pro plan.

Source: OpenAI text to speech guide (developers.openai.com) and ElevenLabs pricing (elevenlabs.io/pricing), checked October 2026.

OpenAI offers more compressed formats out of the box, while ElevenLabs offers a higher PCM sample rate on its paid tiers.

Policy also differs. OpenAI’s usage policy requires a clear disclosure to end users that the voice is AI-generated, which affects UX copy in consumer apps. ElevenLabs licenses commercial use from Starter, as explained in our ElevenLabs commercial use guide.

Pick by pipeline: compressed formats point to OpenAI, higher-rate PCM points to ElevenLabs.

Which has the better developer experience?

Developer experience covers SDKs, documentation and how much of a product one integration can power. OpenAI’s advantage is ecosystem: one API key and SDK cover text, speech and realtime models. ElevenLabs offers official Python and JavaScript SDKs, dedicated agent SDKs for web and mobile, and a CLI.

Five developer-experience factors to weigh:

• Official SDKs: ElevenLabs publishes an elevenlabs package on PyPI and @elevenlabs/elevenlabs-js on npm, while OpenAI’s speech endpoint lives inside its existing SDKs.
• Agent and mobile SDKs: ElevenLabs maintains agent SDKs for React, React Native, Swift, Kotlin and Flutter, useful for shipping voice assistants on mobile.
• Ecosystem breadth: OpenAI teams can combine speech with language and realtime models on one bill, reducing vendor count for AI-heavy products.
• Audio product range: The ElevenLabs API also covers transcription, dubbing, sound effects, music and voice isolation, so one vendor handles many audio features.
• Telephony integrations: ElevenLabs documents Twilio, Exotel and WhatsApp integrations for its agents, shortening setup time for phone-based voice products such as support and booking lines.

Setup steps for ElevenLabs agents are in our ElevenLabs agents guide.

OpenAI suits teams consolidating on one AI vendor; ElevenLabs suits teams building audio-first products.

When should a developer pick OpenAI TTS?

OpenAI TTS is the better pick when cost per character drives the decision and a small set of high-quality built-in voices is enough. Its tts-1 model is the cheapest option covered here at $15 per million characters, and teams already on OpenAI avoid adding another vendor, key and invoice.

Five scenarios where OpenAI TTS is the stronger choice:

• High-volume narration: Apps converting large amounts of text, such as article readers, pay far less per million characters on tts-1 than on any ElevenLabs model.
• English-first products: Voices optimized for English cover most needs for products that serve primarily English-speaking users and markets, from article readers to internal tools.
• Existing OpenAI stacks: Teams already calling OpenAI for language models can add speech with the same SDK and billing, keeping architecture simple.
• Prompt-driven style: gpt-4o-mini-tts lets developers adjust tone and emotion through instructions, a flexible approach for dynamic content such as games, tutoring apps and assistants.
• Prototypes on a budget: Early experiments and internal tools benefit from the lowest per-character price while product direction is still uncertain.

“ElevenLabs costs more per character, and it earns that premium only when the voice itself is part of the product.”

Source: GrowthStackKit, ElevenLabs Review

When price and simplicity matter more than voice range, OpenAI is the sensible default.

Verdict: which API should you use?

The verdict on ElevenLabs vs OpenAI TTS depends on what the voice must do. OpenAI is cheaper, at $15 to $30 per million characters on tts-1 and tts-1-hd, and fits English-first apps already on its stack. ElevenLabs costs $40 to $80 per million but adds self-serve cloning, thousands of voices, documented latency and wide language coverage.

A practical approach is to prototype on both with the same script set, measure latency in your region and test with real users. Pick OpenAI for cost-driven narration and ElevenLabs for branded, multilingual or conversational voice products. For non-developer alternatives, see our list of AI voice generators.

Choose OpenAI to save money, and ElevenLabs when the voice is the product.

Frequently asked questions

The 12 most-asked questions about ElevenLabs vs OpenAI TTS.

Is OpenAI TTS cheaper than ElevenLabs?

Yes, on published per-character prices. OpenAI tts-1 costs $15 per million characters and tts-1-hd $30, while ElevenLabs lists $0.04 per 1,000 characters for Flash and $0.08 for Eleven v4, v3 and Multilingual v2, which equals $40 and $80 per million characters.

How much does gpt-4o-mini-tts cost?

OpenAI lists gpt-4o-mini-tts at $0.60 per million text input tokens and $12.00 per million audio output tokens. OpenAI does not publish a per-minute or per-character estimate, so teams should measure token usage on their own scripts before projecting costs.

Which API sounds more natural?

Both produce natural speech, and neither publishes an independent benchmark. ElevenLabs offers thousands of voices and expressive models like Eleven v3 and v4, while OpenAI offers a smaller set of built-in voices and recommends marin or cedar for best quality.

Can I clone a voice with OpenAI TTS?

Only if approved. OpenAI offers custom voices to approved, eligible customers, built from a speaker consent recording and a sample. ElevenLabs offers self-serve Instant Voice Cloning from its Starter plan and Professional Voice Cloning from Creator.

Which has lower latency, ElevenLabs or OpenAI?

ElevenLabs publishes latency figures: about 75ms for Flash v2.5 and about 100ms for Eleven v4 Turbo, excluding application and network latency. OpenAI’s TTS guide does not publish comparable figures, so measure both in your own environment.

How many languages does ElevenLabs support compared with OpenAI?

ElevenLabs lists languages per model: 90+ on Eleven v4, 70+ on Eleven v3, 32 on Flash v2.5 and 29 on Multilingual v2. OpenAI says its TTS generally follows Whisper language support and its voices are optimized for English.

What audio formats does OpenAI TTS support?

OpenAI TTS outputs MP3 by default and also supports Opus, AAC, FLAC, WAV and PCM at 24 kHz 16-bit. ElevenLabs lists 44.1kHz PCM via the API from the Pro plan, with compressed audio quality rising from 128kbps on Free to 192kbps on Creator.

Do I need to disclose AI voices with OpenAI?

Yes. OpenAI’s usage policy requires a clear disclosure to end users that the voice they hear is AI-generated. Apps using OpenAI TTS should add that disclosure in their interface or audio introduction.

Does ElevenLabs have a Python SDK?

Yes. ElevenLabs publishes an official Python SDK called elevenlabs on PyPI and a JavaScript SDK called @elevenlabs/elevenlabs-js on npm. It also maintains agent SDKs for web and mobile frameworks and a command-line tool.

How much do 1 million characters cost on ElevenLabs?

One million characters cost $40 on ElevenLabs Flash or Turbo models and $80 on Eleven v4, Eleven v3 or Multilingual v2, based on published per-1,000-character API prices. At roughly 1,000 characters per minute, that is about 1,000 minutes of audio.

Does ElevenLabs offer API discounts?

ElevenLabs lists volume discounts on Enterprise and runs a Startup Grants Program offering eligible startups 12 months free with 33,000,000 characters. Annual billing on subscription plans also works out to two months free.

Should I use ElevenLabs or OpenAI for my app?

Use OpenAI TTS when the lowest price and simple English narration matter most, especially if your app already uses OpenAI. Use ElevenLabs when the product needs cloned or distinctive voices, many languages or documented low-latency models.