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The Best Text-to-Speech API for Voice Quality and Price

Luke Oliff

Luke

Luke Oliff is a Developer Relations leader who has spent the better part of a decade building products and improving developer experience for well known brands.

Speechify API delivers 300ms 
latency, human-quality voices, 
and 50+ languages

apple logo2025 Apple Design Award
50M+ Users

TL;DR: Speechify brings its award-winning expressiveness and range of voices to developers with Speechify AI Labs' recently launched API. Our SIMBA 3.0 model ranks 7th on the Artificial Analysis TTS leaderboard out of nearly 80 models/providers, which is better than Google, Microsoft, ElevenLabs. And, we're cheaper and faster than just about anyone out there because we've been delivering TTS at scale for our consumer apps for years. The API is also easy as heck to use. The real question is why you haven't tried Speechify yet.

SIMBA 3.0 ranks #7 out of 76 models on the Artificial Analysis TTS leaderboard, beating Google, Microsoft, Amazon, OpenAI, and ElevenLabs in blind human preference testing. It's also the cheapest model in the entire top 10, starting at $6 per million characters.

This page breaks down the pricing and where each provider actually makes sense. Start free at speechify.ai →


#7 on Artificial Analysis.  Best voices. Lowest price.

What you're actually comparing

When you search for the best TTS API, you're probably solving one of two problems.

Content production means generating audio files in bulk: audiobooks, e-learning, podcast scripts. You care about voice quality and per-character cost. Latency doesn't matter.

Real-time voice agents means building something that talks back: a customer service bot, a phone AI, a voice assistant. Here, latency matters a lot (sub-300ms first-byte), and you need the full cost per minute of conversation, not just the TTS slice of it.

Most comparison posts conflate these. This one doesn't.


How voice quality is actually measured

The most credible benchmark I've found is the Artificial Analysis Speech Arena. It uses blind human preference evaluations: real listeners comparing two speech clips without knowing which provider made them. 76 models. Prompts cover customer service, digital assistants, knowledge sharing, and entertainment. Rankings refresh multiple times a day.

As of May 2026, SIMBA 3.0 ranks #7 globally with an Elo score of 1,159. That puts it above:

  • ElevenLabs Flash v2.5 and Multilingual v2
  • Google Chirp / Neural2
  • Microsoft Azure HD and Neural
  • Amazon Polly (all tiers)
  • OpenAI TTS and gpt-4o-mini-tts
  • Cartesia, NVIDIA, Hume AI, Fish Audio

ElevenLabs as the default quality leader is a 2023 narrative. The leaderboard has moved on.


Speechify AI pricing

Plan

Monthly

Included TTS

Overage rate

Voice agent minutes

Free

$0

50K chars (hard cap)

60 min (hard cap)

Starter

$10

1M chars

$10/1M

120 min

Pro

$99

3M chars

$8/1M

1,200 min

Scale

$499

10M chars

$6/1M

6,000 min

Enterprise

Custom

Volume rates

From $0.06/min

Custom

The free tier is a hard cap with no auto top-up and no surprise overage. You upgrade or you wait.

The bigger differentiator is voice agents. Most platforms charge a platform fee, then bill LLM, STT, and TTS as separate line items. Speechify bundles everything: $0.07/min on Pro, $0.068/min on Scale, $0.06/min at Enterprise. One number. No token math.

Voice cloning, streaming, and SSML support are included on every paid plan, not gated behind the highest tier.


How the main competitors compare

ElevenLabs

ElevenLabs has been the perceived quality leader for a few years. But on Artificial Analysis in 2026, SIMBA 3.0 ranks above their flagship models at 5 to 50 times lower cost, depending on which plan and model you're comparing.

The billing is hard to forecast. After a May 2026 price cut, their Flash model dropped to roughly $50/1M characters. But that's the overage rate after you exhaust plan credits. The Multilingual v2 model, the higher-quality one, runs up to $300/1M in overages on Creator. Voice agents are $0.08/min, with LLM passthrough billed separately on top of that.

Where ElevenLabs still wins: Their v3 model has outstanding emotional range for character-driven work: games, fiction, anything where a voice needs to carry dramatic weight. If that's what you're building, test both. For narration, agents, assistants, e-learning, the quality gap that justified the premium is gone.


OpenAI TTS

Flat $15/1M for tts-1, $30/1M for tts-1-hd. No subscription needed, which is fine if you're already deep in the OpenAI ecosystem and don't want another vendor.

But the limitations add up fast. You get 9 to 13 preset voices, no cloning, and a hard 4,096-character limit per request. Anything longer than about four minutes of speech has to be split, processed in chunks, and stitched back together. For production audio, that's real engineering overhead. For voice agents, you're paying TTS, STT, and LLM as three separate bills.

Quality-wise, OpenAI sits below SIMBA 3.0 on Artificial Analysis at more than twice the per-character cost at scale.

Best for: Prototypes inside an existing OpenAI stack. Not a serious option for production voice work.


Google Cloud TTS / Amazon Polly / Azure

All three land around $14 to $16/1M characters for neural tiers. Infrastructure is solid, language coverage is wide (Azure supports 140+ languages), and they're reliable at enterprise scale.

All three rank below SIMBA 3.0 on Artificial Analysis. None offers voice cloning on standard plans. Voice agents mean assembling LLM, STT, and TTS yourself.

If you're processing 50M+ characters a month and language breadth is the deciding factor, they make sense. Below that, Speechify is cheaper and the voices rank higher.


Murf AI

Murf's Falcon model is $10/1M, fast, and consistent. Good for corporate narration or e-learning where you need reliable output, not expressiveness. 200+ voices, 20+ languages. No voice agent product.


Play.ht

Subscription-based pricing: $39/month for 50K words on Creator, $99 for 200K on Pro. Hits the ceiling fast at real API volume. Popular with content creators, not the right fit for production workloads.


The pricing gap, in numbers

Provider

TTS rate (per 1M chars)

AA leaderboard rank

Voices

Cloning

All-in agent rate

Speechify SIMBA 3.0 (Scale)

$6

#7 / 76

1,500+

$0.068/min

Speechify SIMBA 3.0 (Starter)

$10

#7 / 76

1,500+

$0.075/min

Murf Falcon

$10

200+

OpenAI tts-1

$15

Below top 10

9–13 preset

Google Neural

~$16

Below top 10

380+

Amazon Polly Neural

~$16

Below top 10

60+

Azure Neural Standard

~$14

Below top 10

500+

ElevenLabs Flash (overage)

~$50

Below top 10

3,000+

$0.08/min + LLM

ElevenLabs Multilingual v2 (overage)

up to ~$300

Below top 10

3,000+

$0.08/min + LLM

Pricing from public pages, June 2026. Artificial Analysis rankings as of May 2026, leaderboard updates daily.


Who should use what

If quality-to-price is the brief: SIMBA 3.0 is #7 globally and the cheapest model in that top 10. Nothing close to it on price exists at that quality rank.

If you're building a voice agent: Speechify is the only major platform with a genuinely all-in per-minute rate. Vapi, ElevenLabs, and most others split LLM, STT, and TTS across separate invoices. That makes budgeting hard and bills unpredictable.

If you need voice variety: 1,500+ voices, 30+ languages, voice cloning from $10/month.

If you're building a game or fiction app: ElevenLabs v3 is worth testing for its emotional range. Run both on your actual content. But for most production use cases, the case for paying 5 to 50 times more doesn't hold up.


Getting started

The API is standard REST. You can make your first call in under five minutes:

  1. Create a free account (no credit card)
  2. Get your API key from the dashboard
  3. Make your first call
  4. Full docs at: docs.speechify.ai

The free tier gives you 50K characters and 60 voice agent minutes. Hard cap, no surprises.

Pricing and free API key → speechify.ai/pricing

Access Speechify’s beloved voices via API fast, scalable, and developer-friendly

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Luke Oliff

Luke

Luke Oliff is a Developer Relations leader who has spent the better part of a decade building products and improving developer experience for well known brands.

Luke Oliff is a Developer Relations leader based in the UK. For the better part of a decade he has been working with voice technology, developer tooling, and open-source — improving developer experience for well known brands.

He has architected open-source strategy, launched developer communities, built tools, and shipped conversational AI voice prototypes years before mainstream APIs were available. As an engineer at heart, he writes and speaks about voice AI, developer experience, and real-time APIs as a developer would, focussing on utility and experience.

He has now joined Speechify's AI Labs team, where SIMBA 3.0 ranks 7th on the Artificial Analysis TTS leaderboard out of nearly 80 models.

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About Speechify

#1 Text to Speech Reader

Speechify is the world’s leading text to speech platform, trusted by over 50 million users and backed by more than 500,000 five-star reviews across its text to speech iOS, Android, Chrome Extension, web app, and Mac desktop apps. In 2025, Apple awarded Speechify the prestigious Apple Design Award at WWDC, calling it “a critical resource that helps people live their lives.” Speechify offers 1,000+ natural-sounding voices in 60+ languages and is used in nearly 200 countries. Celebrity voices include Snoop Dogg and Gwyneth Paltrow. For creators and businesses, Speechify Studio provides advanced tools, including AI Voice Generator, AI Voice Cloning, AI Dubbing, and its AI Voice Changer. Speechify also powers leading products with its high-quality, cost-effective text to speech API. Featured in The Wall Street Journal, CNBC, Forbes, TechCrunch, and other major news outlets, Speechify is the largest text to speech provider in the world. Visit speechify.com/news, speechify.com/blog, and speechify.com/press to learn more.