5 prompt(s) · one section per prompt · all models ranked by warm TTFA (fastest first) within each
Each prompt section shows every model's audio output, ordered by warm TTFA (fastest first). Click any audio player to hear that model's rendering.
Reference voice
Each model below was given this clip + transcript as the voice to imitate. Source: chris_hemsworth_15s.wav
Prompt 1
[en]"Open the browser and read my email."
Rank
Model
Device
TTFA warm
Audio
1
Pocket-TTS
cpu
81ms
2
LuxTTS
cuda
195ms
3
NeuTTS Nano
cuda
359ms
4
NeuTTS Nano
cpu
418ms
5
NeuTTS Air
cuda
432ms
6
Coqui XTTS-v2
cuda
475ms
7
NeuTTS Air
cpu
559ms
8
Chatterbox Turbo
cuda
631ms
9
Qwen3-TTS 1.7B (CUDA-graph)
cuda
767ms
10
Chatterbox
cuda
1.13s
11
OmniVoice
cuda
1.14s
12
F5-TTS
cuda
1.14s
13
VoxCPM2 2B
cuda
1.22s
14
LuxTTS
cpu
1.29s
15
Dia 1.6B
cuda
1.29s
16
MOSS-TTS-Nano
cuda
1.97s
17
IndexTTS-2
cpu
2.80s
18
IndexTTS-2
cuda
3.09s
19
Coqui XTTS-v2
cpu
3.15s
20
Sesame CSM-1B
cuda
3.34s
21
MOSS-TTS-Nano
cpu
3.52s
22
Chatterbox Turbo
cpu
3.91s
23
ZipVoice 123M
cpu
6.97s
24
Chatterbox
cpu
8.01s
25
VoxCPM2 2B
cpu
14.19s
26
Sesame CSM-1B
cpu
27.72s
27
OmniVoice
cpu
35.63s
28
F5-TTS
cpu
45.27s
29
Mars5-TTS
cpu
68.86s
30
Mars5-TTS
cuda
70.40s
Prompt 2
[en]"I'll start a new git branch, push the changes, and open a pull request when the tests pass."
Rank
Model
Device
TTFA warm
Audio
1
Pocket-TTS
cpu
110ms
2
LuxTTS
cuda
219ms
3
NeuTTS Nano
cuda
343ms
4
NeuTTS Nano
cpu
378ms
5
NeuTTS Air
cuda
426ms
6
NeuTTS Air
cpu
598ms
7
Coqui XTTS-v2
cuda
998ms
8
Chatterbox Turbo
cuda
1.17s
9
OmniVoice
cuda
1.35s
10
F5-TTS
cuda
1.50s
11
LuxTTS
cpu
2.08s
12
Chatterbox
cuda
2.21s
13
MOSS-TTS-Nano
cuda
2.27s
14
VoxCPM2 2B
cuda
2.38s
15
IndexTTS-2
cpu
4.25s
16
IndexTTS-2
cuda
4.62s
17
MOSS-TTS-Nano
cpu
5.40s
18
Sesame CSM-1B
cuda
6.49s
19
Coqui XTTS-v2
cpu
6.81s
20
Chatterbox Turbo
cpu
7.40s
21
Dia 1.6B
cuda
7.86s
22
ZipVoice 123M
cpu
13.29s
23
Chatterbox
cpu
14.36s
24
VoxCPM2 2B
cpu
26.35s
25
Sesame CSM-1B
cpu
38.09s
26
OmniVoice
cpu
44.05s
27
Qwen3-TTS 1.7B (CUDA-graph)
cuda
45.49s
28
F5-TTS
cpu
57.96s
29
Mars5-TTS
cpu
72.55s
30
Mars5-TTS
cuda
80.29s
Prompt 3
[en]"The Parakeet TDT zero point six billion parameter model achieves one point six nine percent word error rate on LibriSpeech test-clean, beating Whisper Large V3 at two point seven percent while running at over two thousand times realtime on a single GPU."
Rank
Model
Device
TTFA warm
Audio
1
Pocket-TTS
cpu
135ms
2
LuxTTS
cuda
332ms
3
NeuTTS Nano
cuda
373ms
4
NeuTTS Nano
cpu
449ms
5
NeuTTS Air
cuda
531ms
6
NeuTTS Air
cpu
594ms
7
OmniVoice
cuda
2.23s
8
F5-TTS
cuda
3.14s
9
Chatterbox Turbo
cuda
3.32s
10
Coqui XTTS-v2
cuda
3.65s
11
Qwen3-TTS 1.7B (CUDA-graph)
cuda
3.85s
12
LuxTTS
cpu
5.76s
13
Chatterbox
cuda
6.05s
14
MOSS-TTS-Nano
cuda
6.81s
15
VoxCPM2 2B
cuda
7.42s
16
IndexTTS-2
cpu
11.39s
17
IndexTTS-2
cuda
12.24s
18
Sesame CSM-1B
cuda
13.52s
19
MOSS-TTS-Nano
cpu
14.54s
20
Chatterbox Turbo
cpu
21.26s
21
Dia 1.6B
cuda
21.73s
22
Coqui XTTS-v2
cpu
25.42s
23
Chatterbox
cpu
42.09s
24
VoxCPM2 2B
cpu
67.86s
25
OmniVoice
cpu
69.74s
26
Sesame CSM-1B
cpu
80.94s
27
Mars5-TTS
cuda
104.33s
28
Mars5-TTS
cpu
111.83s
29
F5-TTS
cpu
141.44s
Prompt 4
[en]"Run pytest tests slash test underscore voice dot py with verbose flag and capture flag set to no."
Rank
Model
Device
TTFA warm
Audio
1
Pocket-TTS
cpu
108ms
2
LuxTTS
cuda
220ms
3
NeuTTS Nano
cuda
366ms
4
NeuTTS Nano
cpu
428ms
5
NeuTTS Air
cuda
523ms
6
NeuTTS Air
cpu
597ms
7
Chatterbox Turbo
cuda
1.32s
8
OmniVoice
cuda
1.40s
9
F5-TTS
cuda
1.56s
10
Coqui XTTS-v2
cuda
1.70s
11
LuxTTS
cpu
2.24s
12
MOSS-TTS-Nano
cuda
2.99s
13
Chatterbox
cuda
3.04s
14
VoxCPM2 2B
cuda
3.10s
15
IndexTTS-2
cpu
5.00s
16
MOSS-TTS-Nano
cpu
5.89s
17
IndexTTS-2
cuda
6.00s
18
Chatterbox Turbo
cpu
8.85s
19
Dia 1.6B
cuda
8.86s
20
Coqui XTTS-v2
cpu
8.87s
21
Sesame CSM-1B
cuda
9.56s
22
ZipVoice 123M
cpu
15.77s
23
Chatterbox
cpu
18.60s
24
VoxCPM2 2B
cpu
37.91s
25
OmniVoice
cpu
45.42s
26
Qwen3-TTS 1.7B (CUDA-graph)
cuda
45.62s
27
Sesame CSM-1B
cpu
58.88s
28
F5-TTS
cpu
59.69s
29
Mars5-TTS
cpu
90.10s
30
Mars5-TTS
cuda
96.21s
Prompt 5
[fr]"Bonjour, je m'appelle Cicero et je vais vous aider avec votre code aujourd'hui."