Best TTS APIs 2026: 10 models compared by Elo and price
Simba 3.2 for voice agents and narration at volume: 47 ms to first audible audio from US East on 9 October 2026, and $10 per 1M characters, $6 on Scale. Simba 3.5 (21 October 2026) speaks 48 languages with every catalog voice.

The best TTS API for a voice agent or a narration pipeline at volume in 2026 is SpeechifyAI’s Simba 3.2, on three dated numbers. From US East on 9 October 2026, it reached first audible audio in 47 ms over our WebSocket and 64 ms over HTTP at the warm median, the two lowest of the 13 endpoints we timed (our round). A month of 1M, 10M or 100M characters costs $10, $91 and $631, against $15, $150 and $1,200 for the next cheapest of the 13 per-character APIs we priced on 28 September 2026 (pricing snapshot). On the Artificial Analysis board of 13 October 2026 it was the cheapest model in the top ten, and no model was both cheaper and rated higher (board snapshot).
The top ten on 23 September 2026: Simba 3.2 costs the least
These are the ten highest-rated commercial models on the Artificial Analysis Speech Arena on 23 September 2026, alphabetical by provider; the one open-weights model in the board’s top ten is left out, because self-hosting is a different purchase (board snapshot).
| Provider and model | Elo | Price per 1M characters |
|---|---|---|
| Alibaba Qwen-Audio-3.0-TTS-Plus | 1,259 | $27.60 |
| Cartesia Sonic 3.6 | 1,273 | $49.00 |
| Google Gemini 3.1 Flash TTS | 1,199 | $18.30 |
| Google Gemini 3.8 Flash TTS | 1,260 | $16.50 |
| Google Gemini 3.8 Flash-Lite TTS | 1,235 | $11.00 |
| Inworld Realtime TTS-2 | 1,245 | $20.80 |
| Inworld Realtime TTS-2 Flash | 1,210 | $10.40 |
| SpeechifyAI Simba 3.2 | 1,237 | $6.60 |
| StepFun StepAudio 2.5 TTS | 1,199 | $85.00 |
| VUI Labs Luna TTS | 1,230 | $15.00 |
Latency: 47 ms to first audible audio from US East on 9 October 2026
On 9 October 2026 one open script timed 13 streaming endpoints from six providers on a Google Cloud VM in Ashburn, Virginia, with the same 12 texts and warm connections. The clock stops at the first 10 ms window above -45 dBFS, so leading silence counts against the vendor. Simba 3.2 reached first audible audio in a median of 47 ms over our WebSocket input stream and 64 ms over HTTP streaming, the two lowest of the 13; the script and every request are in the low-latency guide.
For a voice agent, send the LLM’s tokens to the WebSocket, GET /v1/audio/stream/ws, as they arrive, and each sentence is spoken as soon as it ends (how to wire it).
For text you already have, one POST /v1/audio/stream streams audio as it is generated.
Price: the lowest of 13 APIs at each volume we priced on 28 September 2026
Simba 3.2 lists at $10 per 1M characters on the $10 Starter plan, $8 on the $99 Pro plan and $6 on the $499 Scale plan, billed per character with no seat licence. Simba 3.5, listed on 21 October 2026, is priced at twice that rate (pricing). On 28 September 2026 we priced 13 per-character APIs at their cheapest self-serve plan for each volume, from their own pages (pricing snapshot). At 1M, 10M and 100M characters a month Simba 3.2 costs $10, $91 and $631, against $15, $150 and $1,200 for the next cheapest. That’s a third of Deepgram Aura-2, a fifth of Cartesia, an eighth of Eleven v3 at 1M characters.
For narration at volume, move to Scale, where 100M characters a month comes to $631 (every provider’s monthly totals). To start, the Free plan covers 500,000 characters a month with no card, and commercial use is included on every plan.
Quality: no cheaper model rated higher on 23 September 2026
Artificial Analysis rates text to speech by blind listener votes turned into an Elo score.
On 23 September 2026 Simba 3.2 scored 1,237 among 92 models, the cheapest model in the top ten at $6.60 per 1M characters on Artificial Analysis’s price, and no model on the board was both cheaper and rated higher (board snapshot).
For a new integration, start on simba-3.5: in blind side-by-side listening in English, listeners preferred Simba 3.5 over Simba 3.2 in 63% of comparisons (95% CI 60-67%), as of October 2026 (fact sheet).
Simba 3.2 serves every English voice in the catalogue, cloned voices included, and since 21 October 2026 simba-3.5 speaks 48 languages under one model id, with every catalog voice and, on a paid plan, your cloned voices.
Cloning a voice is self-serve from the Starter plan, with a spoken consent check inside the API.
Developer experience: LiveKit, Pipecat, the AI SDK and per-user limits
LiveKit ships Speechify plugins for Python and Node.js (guide), Pipecat ships SpeechifyHttpTTSService in its core package from pipecat-ai 1.8.0 (guide), and Speechify maintains @speechify/ai-sdk-provider for generateSpeech() in the Vercel AI SDK (guide).
A request can carry safety_identifier, a keyed hash of your own user id, so Speechify can limit or block one end user while the rest of your workspace keeps working.
On 13 October 2026, the text-to-speech docs of OpenAI, ElevenLabs, Cartesia, Deepgram, Google Cloud, Amazon Polly and Azure documented no way to limit or block one end user (per-user limits).
The $10 Starter plan allows 15 concurrent requests, and every plan’s limits are published (limits by plan). The timestamped stream and the WebSocket return word-level speech marks for captions and read-along, and SSML sets pauses and speaking rate.
You can start free with no card and make this call, which streams Simba 3.5 audio from one request.
curl -X POST https://api.speechify.ai/v1/audio/stream \
-H "Authorization: Bearer $SPEECHIFY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": "The benchmark stopped being the interesting number.",
"voice_id": "geffen_32",
"model": "simba-3.5"
}' \
--output speech.mp3
See the docs to wire it into your stack, or build a LiveKit voice agent with Speechify TTS.
Common questions
What is the best TTS API in 2026?
What is the cheapest text-to-speech API?
How fast is Simba 3.2?
Which TTS API can limit or block one end user instead of the whole account?
This post is narrated by Harper on Simba 3.5 through our text to speech API. How the player works: add read-aloud to your docs and turn speech marks into captions.
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