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Text-to-Speech

Benchmarks

X
Y

Naturalness

higher is better
field averagetied with bestQwenQwenqwen3-tts-flashTry →1310PaxaPaxatts-flash-v1Try →1325HumeHumeoctave-2Try →1377MiniMaxMiniMaxspeech-2.8-turboTry →1385HopperHopperQwen3-TTS1406MiniMaxMiniMaxspeech-2.6-turboTry →1408OpenAIgpt-4o-mini-ttsTry →1424RimeRimemistv3Try →1428RimeRimearcanav3Try →1429MiniMaxMiniMaxspeech-2.8-hdTry →1431SmallestSmallestlightning_v3.1_proTry →1447MiniMaxMiniMaxspeech-2.6-hdTry →1450HumeHumeoctave-1Try →1455ElevenLabseleven_turbo_v2_5Try →1466ElevenLabseleven_multilingual_v2Try →1472ElevenLabseleven_turbo_v2Try →1492ElevenLabseleven_flash_v2_5Try →1494xAI Grokgrok-ttsTry →1495InworldInworldtts-2-flashTry →1501ElevenLabseleven_flash_v2Try →1507NariNariQwen3-TTSTry →1510PalabraPalabratts-v1Try →1520RimeRimecodaTry →1535NariNariQwen3-TTS FastTry →1536SmallestSmallestlightning_v3.1Try →1544DeepgramfluxTry →1550Cartesiasonic-3Try →1551InworldInworldtts-2Try →1561Fish AudioFish Audios2.1-proTry →1566Sonioxtts-rt-v11569BlandBlandspeechTry →1569SpeechifySpeechifysimba-3.2Try →1573Cartesiasonic-3.5Try →1574Cartesiasonic-3.6Try →1578Deepgramaura-2Try →1584ElevenLabseleven_v3_conversationalTry →1590GeminiGemini3.1-flash-tts-previewTry →1591GradiumTTSTry →1592Sonioxtts-rt-v2Try →1606GeminiGemini3.8-flash-lite-ttsTry →1639GeminiGemini3.8-flash-ttsTry →1642ElevenLabseleven_v4_turboTry →1670ElevenLabseleven_v4Try →1708
130014001500160017001800

Time to first audio

Region
GradiumTTSTry →55ms · 59ms
Maya2 NativeTry →94ms · 102ms
DeepgramfluxTry →118ms · 153ms
RimeRimemistv3Try →120ms · 139ms
Deepgramaura-2Try →147ms · 156ms
HopperHopperQwen3-TTS147ms · 166ms
RimeRimecodaTry →148ms · 194ms
BlandBlandspeechTry →192ms · 262ms
RimeRimearcanav3Try →260ms · 271ms
HumeHumeoctave-2Try →435ms · 505ms
HumeHumeoctave-1Try →589ms · 903ms
0ms300ms600ms900ms1.20s

p50 p90

Robustness

higher is better

Whether the voice says the right words for a number, date, currency amount or operator — a different question from drift, which is whether it sounds like itself across repeats.

Cost

lower is better

What a vendor charges to synthesize a million characters of text, at its published list rate.

FAQ

Which TTS voice sounds the most natural?
The top 8 human-rated voices have overlapping 95% intervals, from Gemini 3.1 Flash TTS at Elo 1591 to Smallest lightning_v3.1 at 1544. These measurements do not establish a single winner.
What is the fastest TTS API for a real-time agent?
Nari Qwen3-TTS Fast had the lowest measured US East first-audio median at 37ms, vendor-direct; the same model measured 206ms from Singapore. Speechify simba-3.2 was fastest among voices with human panel scores at 56ms in US East.
How is TTS naturalness measured on this board?
Human panel scores use blind A/B votes, fitted as Elo with bootstrap 95% intervals and a field mean of 1500. Values marked ~ are automated estimates; Nari Qwen3-TTS Fast scores ~1536 with no panel interval.
Which TTS API is cheapest per million characters?
Maya Maya 2 Native quoted ~$4.0 per 1M characters, the lowest rate on this board; it has no naturalness measurement on this English board. Nari Qwen3-TTS lists at $5.0.
Which TTS voice reads numbers, dates and currency correctly?
Robustness is a severity-weighted score from 0 to 1 on readings such as numbers and dates; higher is better. ElevenLabs eleven_v4 leads at 0.9.