TTS Arena — AI Voice Model Leaderboard

Compare 20+ text-to-speech models. Official benchmarks, community ratings, and side-by-side comparison.

Side-by-Side Comparison

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Model A

Model B

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Model Leaderboard

#	Model	Official	Community	Speed	Tier
1	Kokoro Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference. 82M 1200h 2024	4.8 /5	5.0 /5 1 vote	fast	Free
2	CosyVoice 2 Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency. 300M 200000h 2024	4.26 /5	No votes yet	medium	Standard
3	Chatterbox State-of-the-art zero-shot voice cloning with emotion control from Resemble AI. 300M 2025	4.25 /5	No votes yet	medium	Premium
4	StyleTTS 2 Human-level text-to-speech through style diffusion and adversarial training. 100M 585h 2024	4.23 /5	No votes yet	medium	Premium
5	Piper A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices. 15M 2023	4.15 /5	No votes yet	fast	Free
6	MeloTTS High-quality multilingual text-to-speech that runs on CPU with minimal latency. 25M 2024	4.13 /5	No votes yet	fast	Free
7	Dia TTS Multi-speaker dialog generation model that creates natural conversations between speakers. 1.6B 2024	4.09 /5	No votes yet	medium	Standard
8	VITS Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech. 25M 585h 2021	4.0 /5	No votes yet	fast	Free
9	Orpheus Human-level emotional TTS model trained on 100K hours of speech data. 3B 100000h 2025	4.0 /5	No votes yet	medium	Standard
10	OpenVoice Instant voice cloning with granular control over style, emotion, and accent. 300M 2024	4.0 /5	No votes yet	medium	Premium
11	IndexTTS-2 Zero-shot TTS with fine-grained emotion control and high expressiveness. 300M 2025	3.91 /5	No votes yet	medium	Standard
12	Spark TTS Voice cloning TTS with controllable emotion and speaking style via prompts. 500M 2025	3.9 /5	No votes yet	medium	Standard
13	Parler TTS Describe the voice you want in natural language and Parler generates matching speech. 880M 45000h 2024	3.83 /5	No votes yet	medium	Standard
14	Tortoise TTS Multi-voice text-to-speech focused on quality with autoregressive architecture. 400M 50000h 2022	3.7 /5	No votes yet	slow	Premium
15	Bark Transformer-based text-to-audio model that generates realistic speech, music, and sound effects. 350M 100000h 2023	3.57 /5	No votes yet	slow	Standard
16	Bark Small Lighter version of Bark with faster inference and lower memory usage. 150M 100000h 2023	—	No votes yet	medium	Standard
17	GLM-TTS Achieves the lowest character error rate among open-source TTS models. 300M 2025	—	No votes yet	medium	Standard
18	GPT-SoVITS Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio. 200M 2024	—	No votes yet	slow	Standard
19	Qwen3 TTS Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text. 1.7B 2025	—	No votes yet	medium	Standard
20	Sesame CSM Conversational speech model generating natural dialogue with appropriate timing and emotion. 1B 2025	—	No votes yet	slow	Premium
21	Chatterbox Turbo Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more. 350M 2025	—	No votes yet	fast	Standard
22	Zonos Emotion-controllable TTS with fine-grained sliders for happiness, anger, sadness, and more. 1.6B 200000h 2025	—	No votes yet	medium	Standard
23	Dia 2 Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues. 2B 2025	—	No votes yet	fast	Standard
24	VoxCPM Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency. 500M 1800000h 2025	—	No votes yet	fast	Standard
25	OuteTTS LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js. 1B 5000h 2025	—	No votes yet	fast	Free
26	TADA Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS. 1B 2026	—	No votes yet	fast	Standard
27	VibeVoice Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers. 1.5B 100000h 2025	—	No votes yet	fast	Standard
28	Pocket TTS Lightweight 100M parameter model by Kyutai with voice cloning from a single sample. 100M 50000h 2025	—	No votes yet	fast	Free
29	Kitten TTS Ultra-lightweight TTS under 80MB. Runs on CPU without GPU. 80M 2025	—	No votes yet	fast	Free
30	CosyVoice3 Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning. 500M 200000h 2025	—	No votes yet	fast	Standard
31	MOSS-TTS Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control. 8B 500000h 2026	—	No votes yet	medium	Premium
32	MegaTTS3 ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity. 1B 100000h 2025	—	No votes yet	slow	Premium

Detailed Benchmark Scores

Official TTS.ai benchmark scores across three dimensions: naturalness, accuracy, and speed.

Kokoro

Free

Naturalness 4.8/5

Accuracy 4.7/5

Speed 4.9/5

Overall 4.8/5

CosyVoice 2

Standard

Naturalness 4.5/5

Accuracy 4.4/5

Speed 3.8/5

Overall 4.26/5

Chatterbox

Premium

Naturalness 4.7/5

Accuracy 4.5/5

Speed 3.4/5

Overall 4.25/5

StyleTTS 2

Premium

Naturalness 4.5/5

Accuracy 4.3/5

Speed 3.8/5

Overall 4.23/5

Piper

Free

Naturalness 3.5/5

Accuracy 4.2/5

Speed 4.95/5

Overall 4.15/5

MeloTTS

Free

Naturalness 3.8/5

Accuracy 4.1/5

Speed 4.6/5

Overall 4.13/5

Dia TTS

Standard

Naturalness 4.6/5

Accuracy 4.3/5

Speed 3.2/5

Overall 4.09/5

VITS

Free

Naturalness 3.4/5

Accuracy 4.0/5

Speed 4.8/5

Overall 4.0/5

Orpheus

Standard

Naturalness 4.3/5

Accuracy 4.1/5

Speed 3.5/5

Overall 4.0/5

OpenVoice

Premium

Naturalness 4.0/5

Accuracy 4.1/5

Speed 3.9/5

Overall 4.0/5

IndexTTS-2

Standard

Naturalness 4.3/5

Accuracy 4.1/5

Speed 3.2/5

Overall 3.91/5

Spark TTS

Standard

Naturalness 4.2/5

Accuracy 4.0/5

Speed 3.4/5

Overall 3.9/5

Parler TTS

Standard

Naturalness 4.1/5

Accuracy 3.9/5

Speed 3.4/5

Overall 3.83/5

Tortoise TTS

Premium

Naturalness 4.6/5

Accuracy 4.4/5

Speed 1.8/5

Overall 3.7/5

Bark

Standard

Naturalness 4.2/5

Accuracy 3.8/5

Speed 2.5/5

Overall 3.57/5

Benchmark Methodology

Test Setup

Hardware: 4x NVIDIA Tesla P40 (24GB VRAM each), 96GB total
Test text: 5 standardized passages covering different speech patterns (narration, dialogue, technical, emotional, multilingual)
Evaluation: Automated metrics (MOS estimation, WER, RTF) combined with human listening tests
Runs: Each model tested 10 times per passage, scores averaged

Scoring Criteria

Naturalness (40%): Prosody, intonation, rhythm, emotion — how human does it sound?
Accuracy (30%): Pronunciation correctness, word error rate, intelligibility
Speed (30%): Real-time factor (audio seconds / generation seconds). Higher = faster.
Overall: Weighted average: 0.4 x Naturalness + 0.3 x Accuracy + 0.3 x Speed

Note: Benchmarks reflect performance on our specific hardware and test texts. Real-world quality may vary based on input text, language, and voice selection. Community ratings provide a complementary signal based on diverse real usage.

Frequently Asked Questions

The TTS Arena is a leaderboard that ranks AI text-to-speech models based on official benchmark tests and community ratings. Compare models side-by-side, listen to samples, and vote for the ones that sound best to you.

We run standardized tests on each model using the same text passages, hardware, and evaluation criteria. Scores cover naturalness (how human it sounds), accuracy (pronunciation and intelligibility), and speed (generation time). All tests use our GPU server with NVIDIA Tesla P40 GPUs.

Yes! Click the stars next to any model to rate it from 1 to 5. You need to be signed in to vote. Your rating contributes to the community average shown on the leaderboard. You can change your rating at any time.

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 measures how human-like the speech sounds (prosody, intonation, rhythm). Accuracy measures pronunciation correctness and intelligibility. Speed measures how fast the model generates audio relative to real-time. Overall is a weighted average of all metrics.

Models without benchmark scores are either newly added and awaiting testing, or require special setup (like gated access tokens) that is pending. Community ratings are still available for these models.

Official benchmarks are updated when models receive significant updates or when new models are added. Community ratings update in real-time as users vote. The leaderboard data is cached for 5 minutes for performance.

Free models (Kokoro, Piper, VITS, MeloTTS) cost 0 characters. Standard models use 2x characters (e.g., 1,000 characters of text costs 2,000 characters from your balance). Premium models use 4x characters and generally offer the highest quality or unique features like voice cloning.

For most use cases, Kokoro (free tier) offers excellent quality. For voice cloning, try Chatterbox or CosyVoice 2. For multilingual content, MeloTTS or CosyVoice 2. For expressive narration, Bark or Dia. Use the comparison tool to test with your specific text.

Yes, you can generate and compare audio from any two models without an account using free-tier models. Voting on models requires a free account. Premium model comparisons require characters.

We strive for objectivity by using standardized test texts, identical hardware, and consistent evaluation criteria across all models. Community ratings provide an additional independent signal. Our methodology is described in the Benchmark Methodology section below.

Models are ranked primarily by official benchmark overall score, then by community average rating as a tiebreaker. Models without benchmarks are ranked below those with benchmarks, ordered by community rating.

5.0/5 (1)

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TTS Arena — AI Voice Model Leaderboard

Side-by-Side Comparison

Model Leaderboard

Detailed Benchmark Scores

Kokoro

CosyVoice 2

Chatterbox

StyleTTS 2

Piper

MeloTTS

Dia TTS

VITS

Orpheus

OpenVoice

IndexTTS-2

Spark TTS

Parler TTS

Tortoise TTS

Bark

Benchmark Methodology

Test Setup

Scoring Criteria

Frequently Asked Questions

What is the TTS Arena?

How are the official benchmark scores calculated?

Can I vote on model quality?

How does the model comparison work?

What does each benchmark metric mean?

Why do some models have no benchmark score?

How often are benchmarks updated?

What is the difference between free, standard, and premium tiers?

Which model should I use?

Can I use the comparison tool without signing in?

Are the benchmark tests biased?

How are models ranked when scores are tied?

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