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TTS Arena — AI Voice Model Leaderboard

Sanganisa 20 + mafomu emashoko-ku-mutauro. Official benchmarks, nharaunda ratings, uye pedyo-ne-pedyo kuenzanisa.

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Side-by-Side Kuenzanisa

Type text, pick two models, and compare the results. Free-tier models require no account.

Free mamodheru kushanda pasina account. _Zvinyorwa to compare premium models.

Model Leaderboard

# Model Official Munharaunda Ratidza yako _Speed: _Kukanganisa
1
Kokoro
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M 1200h 2024
4.8 /5 5.0 /5
1 vhota
fast Free
2
CosyVoice 2
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M 200000h 2024
4.26 /5 Hapana mavhoti
medium Standard
3
Chatterbox
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M 2025
4.25 /5 Hapana mavhoti
medium Premium
4
StyleTTS 2
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M 585h 2024
4.23 /5 Hapana mavhoti
medium Premium
5
Piper
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M 2023
4.15 /5 Hapana mavhoti
fast Free
6
MeloTTS
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M 2024
4.13 /5 Hapana mavhoti
fast Free
7
Dia TTS
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B 2024
4.09 /5 Hapana mavhoti
medium Standard
8
VITS
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M 585h 2021
4.0 /5 Hapana mavhoti
fast Free
9
Orpheus
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B 100000h 2025
4.0 /5 Hapana mavhoti
medium Standard
10
OpenVoice
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M 2024
4.0 /5 Hapana mavhoti
medium Premium
11
IndexTTS-2
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M 2025
3.91 /5 Hapana mavhoti
medium Standard
12
Spark TTS
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M 2025
3.9 /5 Hapana mavhoti
medium Standard
13
Parler TTS
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M 45000h 2024
3.83 /5 Hapana mavhoti
medium Standard
14
Tortoise TTS
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M 50000h 2022
3.7 /5 Hapana mavhoti
slow Premium
15
Bark
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M 100000h 2023
3.57 /5 Hapana mavhoti
slow Standard
16
Bark Small
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M 100000h 2023
— Hapana mavhoti
medium Standard
17
GLM-TTS
GLM-TTS
Achieves the lowest character error rate among open-source TTS models.
300M 2025
— Hapana mavhoti
medium Standard
18
GPT-SoVITS
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M 2024
— Hapana mavhoti
slow Standard
19
Qwen3 TTS
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B 2025
— Hapana mavhoti
medium Standard
20
Sesame CSM
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B 2025
— Hapana mavhoti
slow Premium
21
Chatterbox Turbo
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M 2025
— Hapana mavhoti
fast Standard
22
Dia 2
Dia 2
Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.
2B 2025
— Hapana mavhoti
fast Standard
23
VoxCPM
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M 1800000h 2025
— Hapana mavhoti
fast Standard
24
OuteTTS
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B 5000h 2025
— Hapana mavhoti
fast Free
25
TADA
TADA
Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.
1B 2026
— Hapana mavhoti
fast Standard
26
VibeVoice
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B 100000h 2025
— Hapana mavhoti
fast Standard
27
Pocket TTS
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M 50000h 2025
— Hapana mavhoti
fast Free
28
Kitten TTS
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M 2025
— Hapana mavhoti
fast Free
29
CosyVoice3
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M 200000h 2025
— Hapana mavhoti
fast Standard
30
MOSS-TTS
MOSS-TTS
Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control.
8B 500000h 2026
— Hapana mavhoti
medium Premium
31
MegaTTS3
MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
1B 100000h 2025
— Hapana mavhoti
slow Premium

Yakadzama Benchmark Scores

Official TTS.ai benchmark scores pamusoro matatu zvikamu: hunhu, kuvimbika, uye speed.

KokoroKokoro

Free
Naturalness 4.8/5
Kunyatsonzwisisa 4.7/5
_Speed: 4.9/5
Chikamu chekutanga 4.8/5

CosyVoice 2CosyVoice 2

Standard
Naturalness 4.5/5
Kunyatsonzwisisa 4.4/5
_Speed: 3.8/5
Chikamu chekutanga 4.26/5

ChatterboxChatterbox

Premium
Naturalness 4.7/5
Kunyatsonzwisisa 4.5/5
_Speed: 3.4/5
Chikamu chekutanga 4.25/5

StyleTTS 2StyleTTS 2

Premium
Naturalness 4.5/5
Kunyatsonzwisisa 4.3/5
_Speed: 3.8/5
Chikamu chekutanga 4.23/5

PiperPiper

Free
Naturalness 3.5/5
Kunyatsonzwisisa 4.2/5
_Speed: 4.95/5
Chikamu chekutanga 4.15/5

MeloTTSMeloTTS

Free
Naturalness 3.8/5
Kunyatsonzwisisa 4.1/5
_Speed: 4.6/5
Chikamu chekutanga 4.13/5

Dia TTSDia TTS

Standard
Naturalness 4.6/5
Kunyatsonzwisisa 4.3/5
_Speed: 3.2/5
Chikamu chekutanga 4.09/5

VITSVITS

Free
Naturalness 3.4/5
Kunyatsonzwisisa 4.0/5
_Speed: 4.8/5
Chikamu chekutanga 4.0/5

OrpheusOrpheus

Standard
Naturalness 4.3/5
Kunyatsonzwisisa 4.1/5
_Speed: 3.5/5
Chikamu chekutanga 4.0/5

OpenVoiceOpenVoice

Premium
Naturalness 4.0/5
Kunyatsonzwisisa 4.1/5
_Speed: 3.9/5
Chikamu chekutanga 4.0/5

IndexTTS-2IndexTTS-2

Standard
Naturalness 4.3/5
Kunyatsonzwisisa 4.1/5
_Speed: 3.2/5
Chikamu chekutanga 3.91/5

Spark TTSSpark TTS

Standard
Naturalness 4.2/5
Kunyatsonzwisisa 4.0/5
_Speed: 3.4/5
Chikamu chekutanga 3.9/5

Parler TTSParler TTS

Standard
Naturalness 4.1/5
Kunyatsonzwisisa 3.9/5
_Speed: 3.4/5
Chikamu chekutanga 3.83/5

Tortoise TTSTortoise TTS

Premium
Naturalness 4.6/5
Kunyatsonzwisisa 4.4/5
_Speed: 1.8/5
Chikamu chekutanga 3.7/5

BarkBark

Standard
Naturalness 4.2/5
Kunyatsonzwisisa 3.8/5
_Speed: 2.5/5
Chikamu chekutanga 3.57/5

Benchmark Methodology

Kugadzirisa kweTest

  • Hardware: 4x NVIDIA Tesla P40 (24GB VRAM imwe neimwe), 96GB zvakapetwa kaviri
  • Tevere: 5 standardized mavhesi anotaura nezvemamwe mafomu emashoko (narration, dialogue, technical, emotional, multilingual)
  • Kuongorora: Automatic metrics (MOS kufungidzira, WER, RTF) pamwe chete nevanhu kuunza bvunzo
  • Kutanga: Yese mufananidzo wakaongororwa 10 nguva panzira, zvibodzwa zvakapetwa kaviri

Kuongorora Zvimiro

  • Naturalness (40%): Prosody, intonation, rhythm, emotion — sei munhu anonzwa?
  • Kunyatsoita (30%): Kutaura kunyatsojeka, mashoko ematambudziko, kunzwisisika
  • Speed (30%): Real-time factor (audio masekondi / generation masekondi). Higher = faster.
  • Zvinhu zvese: Weighted average: 0.4 x Naturalness + 0.3 x Accuracy + 0.3 x Speed

Nyaya: Zviratidzo zvinoratidzwa nekushandisa kwehardware yedu uye netest texts. Kushanda kwechokwadi kunogona kuchinja zvichienderana nebasa remushandisi, rurimi, uye kusarudzwa kwezwi. Kuongororwa kwenharaunda kunopawo ruzivo rutsva runoenderana nekushandisa kwechokwadi.

Mibvunzo Inobvunzwa Kazhinji

The TTS Arena ndiyo ongororo yezvikwata zvinotungamira zvinoongorora mamodheru eAI emashoko-ku-mutauro zvichibva pazviyeuchidzo zvemunharaunda uye zvidzidzo zvemunharaunda. Unogona kuongorora mamodheru akatarisana neakatarisana, kuongorora mifananidzo uye kuvhota mamodheru aunofarira.

Tinoshandisawo zviyero zvakasiyana-siyana pakuongorora maapplication edu, tichishandisawo zvinyorwa zvakafanana, hardware, uye zviyero zvekuongorora. Zviratidzo zvinotarisa pazvinhu zvakaita sekuti zvinonzwa sei, kuti zvinotaura sei, kuti zvinonzwisisika sei, uye kuti zvinotanga sei.

Yeah! Tinya pazviratidzo zvinotevera chero chifananidzo kuti uipe mukurumbira kubva pa1 kusvika pa5. Unofanira kunge wakapinda mu system kuti uvhote. Mukurumbira wako unowedzera kune mukurumbira wemunharaunda wakaratidzwa panzvimbo yepamusoro. Unogona kuchinja mukurumbira wako chero nguva.

Type any text, select two models, and click Compare. Both models generate speech from the same text simultaneously. Listen to both and vote for which sounds better. This blind comparison helps identify the best model for your specific needs.

Naturalness inoongorora kuti sei mashoko akafanana nemunhu (prosody, intonation, rhythm). Accuracy inoongorora kuti sei mashoko akafanana nemunhu (prosody, intonation, rhythm). Speed inoongorora kuti sei mashoko akafanana nemunhu (prosodia, intonation, rhythm). Overall inoongorora kuti sei mashoko akafanana nemunhu (prosody, intonation, rhythm).

Models pasina benchmark scores zviri kana vatsva akawedzera uye kumirira kuongorora, kana zvinoda zvakasiyana setup (semuenzaniso gated access tokens) kuti iri kutarisirwa.

Official benchmarks inovandudzwa kana mamodheru achiwana zvitsva zvakawandisa kana kana mamodheru matsva achiwedzerwa. Community ratings inovandudzwa munguva chaiyo sezvavanovhota vashandisi.

Zvinyorwa zvemahara (Kokoro, Piper, VITS, MeloTTS) zvinoda 0 characters. Zvinyorwa zveStandard zvinoda 2x characters (i.e., 1,000 characters of text zvinoda 2,000 characters from your balance). Zvinyorwa zvePremium zvinoda 4x characters uye zvinopa zvakasiyana-siyana zvakasiyana-siyana sezvo kufona.

Kune dzimwe nyaya, Kokoro (yakazara) inopa mhando yakanaka. Kuti uite kudhirowa kwezwi, edza Chatterbox kana CosyVoice 2. Kuti uite zvemamwe matauro, MeloTTS kana CosyVoice 2. Kuti uite kutaura kwakajeka, Bark kana Dia. Dzvanya pa "Kuenzanisa" kuti uite bvunzo nemashoko ako.

Ndiyo, unogona kuburitsa uye kuenzanisa audio kubva kune chero maviri mamodheru pasina account usingabhadhare mamodheru. Kuvhota pamadhora emadhora anodiwa kuti uwane account.

Tine chinangwa chekuzvipira nekushandisa zvakaenzana zvinyorwa zvebvunzo, zvakafanana zvinhu zvemagetsi, uye zvakaenzana zviyero zvekuongorora pakati pezvose zvigadzirwa. Kuongororwa kwenharaunda kunopawo chiratidzo chisina kuenderana.

Models vanosarudzwa zvikuru ne official benchmark overall score, uyezve ne community average rating setiebreaker. Models vasina benchmarks vanosarudzwa pasi pe avo vane benchmarks, vakanyorwa ne community rating.
5.0/5 (1)

Chii chingatibatsira kuti tiite zvakanaka? Ruzivo rwako runogona kutibatsira kugadzirisa matambudziko.

Dzvanya pano kuti uwane izwi rako rakanaka

Kokoro, Piper, VITS, kana MeloTTS zvinokutendera iwe kuti uzvigadzirise iwe pachako. Hapana account inodiwa.

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