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
63ms
2
StyleTTS 2
cpu
129ms
3
StyleTTS 2
cuda
140ms
4
OpenVoice v2
cuda
185ms
5
NeuTTS Nano
cuda
356ms
6
NeuTTS Nano
cpu
369ms
7
NeuTTS Air
cuda
497ms
8
Qwen3-TTS 1.7B (CUDA-graph)
cuda
529ms
9
Coqui XTTS-v2
cuda
563ms
10
OpenVoice v2
cpu
623ms
11
NeuTTS Air
cpu
630ms
12
Chatterbox Turbo
cuda
632ms
13
MiraTTS
cuda
645ms
14
F5-TTS v1
cuda
728ms
15
OmniVoice
cuda
736ms
16
ZipVoice 123M
cuda
1.08s
17
Chatterbox
cuda
1.25s
18
Dia 1.6B-0626
cuda
1.30s
19
LongCat-AudioDiT 1B
cuda
1.44s
20
VibeVoice 7B
cuda
1.68s
21
VoxCPM2 2B
cuda
1.81s
22
WavTTS 0.67B
cuda
1.97s
23
IndexTTS-2
cpu
2.09s
24
Fish Speech 1.5
cuda
2.16s
25
LongCat-AudioDiT 3.5B
cuda
2.19s
26
MOSS-TTS-Nano
cuda
2.28s
27
Echo-TTS
cuda
2.29s
28
Coqui XTTS-v2
cpu
2.53s
29
IndexTTS-2
cuda
2.57s
30
MOSS-TTS-Nano
cpu
2.61s
31
MOSS-TTS v1.5
cuda
2.98s
32
MOSS-TTS v1.0
cuda
2.99s
33
Zonos v0.1
cuda
3.41s
34
Chatterbox Turbo
cpu
3.48s
35
Sesame CSM-1B
cuda
3.97s
36
DramaBox
cuda
4.12s
37
OuteTTS 1.0 1B
cuda
6.26s
38
VoxCPM2 2B
cpu
6.39s
39
Miso TTS 8B
cuda
6.46s
40
Chatterbox
cpu
6.52s
41
ZipVoice 123M
cpu
7.67s
42
Fish Speech 1.5
cpu
11.56s
43
Sesame CSM-1B
cpu
17.17s
44
Zonos v0.1
cpu
18.60s
45
Mars5-TTS
cuda
29.79s
46
Mars5-TTS
cpu
30.56s
47
OmniVoice
cpu
37.89s
48
F5-TTS v1
cpu
50.19s
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
86ms
2
StyleTTS 2
cuda
173ms
3
StyleTTS 2
cpu
173ms
4
OpenVoice v2
cuda
339ms
5
NeuTTS Nano
cuda
368ms
6
NeuTTS Nano
cpu
460ms
7
NeuTTS Air
cpu
495ms
8
NeuTTS Air
cuda
496ms
9
OmniVoice
cuda
759ms
10
F5-TTS v1
cuda
914ms
11
MiraTTS
cuda
1.08s
12
Coqui XTTS-v2
cuda
1.09s
13
OpenVoice v2
cpu
1.09s
14
Chatterbox Turbo
cuda
1.13s
15
Qwen3-TTS 1.7B (CUDA-graph)
cuda
1.22s
16
LongCat-AudioDiT 1B
cuda
1.28s
17
LongCat-AudioDiT 3.5B
cuda
1.93s
18
Echo-TTS
cuda
2.16s
19
WavTTS 0.67B
cuda
2.19s
20
Chatterbox
cuda
2.21s
21
MOSS-TTS-Nano
cuda
3.38s
22
VoxCPM2 2B
cuda
3.43s
23
VibeVoice 7B
cuda
3.50s
24
MOSS-TTS v1.0
cuda
3.52s
25
MOSS-TTS v1.5
cuda
3.83s
26
MOSS-TTS-Nano
cpu
3.97s
27
IndexTTS-2
cpu
4.01s
28
IndexTTS-2
cuda
4.12s
29
DramaBox
cuda
4.63s
30
Fish Speech 1.5
cuda
5.49s
31
Coqui XTTS-v2
cpu
6.01s
32
Chatterbox Turbo
cpu
6.28s
33
Zonos v0.1
cuda
7.85s
34
Dia 1.6B-0626
cuda
8.34s
35
Sesame CSM-1B
cuda
9.01s
36
Chatterbox
cpu
11.99s
37
ZipVoice 123M
cpu
13.40s
38
OuteTTS 1.0 1B
cuda
13.48s
39
VoxCPM2 2B
cpu
14.44s
40
Fish Speech 1.5
cpu
30.34s
41
Miso TTS 8B
cuda
33.31s
42
Mars5-TTS
cuda
33.89s
43
Sesame CSM-1B
cpu
38.15s
44
Mars5-TTS
cpu
43.83s
45
Zonos v0.1
cpu
47.31s
46
OmniVoice
cpu
48.65s
47
F5-TTS v1
cpu
64.77s
48
ZipVoice 123M
cuda
133.84s
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
105ms
2
StyleTTS 2
cuda
306ms
3
NeuTTS Nano
cuda
307ms
4
StyleTTS 2
cpu
340ms
5
NeuTTS Nano
cpu
378ms
6
NeuTTS Air
cuda
518ms
7
OpenVoice v2
cuda
525ms
8
NeuTTS Air
cpu
636ms
9
OmniVoice
cuda
934ms
10
LongCat-AudioDiT 1B
cuda
1.38s
11
F5-TTS v1
cuda
1.71s
12
Echo-TTS
cuda
2.14s
13
MiraTTS
cuda
2.62s
14
LongCat-AudioDiT 3.5B
cuda
2.81s
15
OpenVoice v2
cpu
3.05s
16
Chatterbox Turbo
cuda
3.27s
17
Coqui XTTS-v2
cuda
3.35s
18
Qwen3-TTS 1.7B (CUDA-graph)
cuda
3.37s
19
WavTTS 0.67B
cuda
4.91s
20
Chatterbox
cuda
5.20s
21
DramaBox
cuda
6.22s
22
MOSS-TTS v1.0
cuda
8.96s
23
IndexTTS-2
cpu
9.05s
24
MOSS-TTS-Nano
cuda
9.17s
25
MOSS-TTS v1.5
cuda
9.43s
26
VibeVoice 7B
cuda
9.65s
27
VoxCPM2 2B
cuda
10.29s
28
MOSS-TTS-Nano
cpu
10.40s
29
IndexTTS-2
cuda
10.75s
30
Sesame CSM-1B
cuda
17.44s
31
Chatterbox Turbo
cpu
20.05s
32
Fish Speech 1.5
cuda
20.28s
33
Coqui XTTS-v2
cpu
20.33s
34
Zonos v0.1
cuda
23.91s
35
Dia 1.6B-0626
cuda
24.69s
36
Chatterbox
cpu
34.74s
37
VoxCPM2 2B
cpu
35.11s
38
OuteTTS 1.0 1B
cuda
39.66s
39
Mars5-TTS
cpu
54.81s
40
Mars5-TTS
cuda
55.86s
41
Miso TTS 8B
cuda
68.73s
42
Sesame CSM-1B
cpu
77.75s
43
OmniVoice
cpu
78.95s
44
F5-TTS v1
cpu
103.89s
45
Fish Speech 1.5
cpu
107.15s
46
Zonos v0.1
cpu
157.87s
47
ZipVoice 123M
cpu
183.07s
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
95ms
2
StyleTTS 2
cuda
228ms
3
StyleTTS 2
cpu
230ms
4
NeuTTS Nano
cuda
337ms
5
OpenVoice v2
cuda
378ms
6
NeuTTS Nano
cpu
386ms
7
NeuTTS Air
cuda
458ms
8
NeuTTS Air
cpu
512ms
9
OmniVoice
cuda
752ms
10
F5-TTS v1
cuda
870ms
11
OpenVoice v2
cpu
1.30s
12
Chatterbox Turbo
cuda
1.32s
13
LongCat-AudioDiT 1B
cuda
1.35s
14
MiraTTS
cuda
1.48s
15
Qwen3-TTS 1.7B (CUDA-graph)
cuda
1.54s
16
Coqui XTTS-v2
cuda
1.59s
17
WavTTS 0.67B
cuda
2.29s
18
Echo-TTS
cuda
2.34s
19
LongCat-AudioDiT 3.5B
cuda
2.34s
20
Chatterbox
cuda
2.87s
21
MOSS-TTS-Nano
cuda
3.69s
22
IndexTTS-2
cpu
4.32s
23
MOSS-TTS-Nano
cpu
4.58s
24
VibeVoice 7B
cuda
4.60s
25
MOSS-TTS v1.0
cuda
4.69s
26
DramaBox
cuda
4.98s
27
IndexTTS-2
cuda
5.19s
28
VoxCPM2 2B
cuda
5.19s
29
MOSS-TTS v1.5
cuda
6.51s
30
Fish Speech 1.5
cuda
7.20s
31
Chatterbox Turbo
cpu
7.65s
32
Zonos v0.1
cuda
8.48s
33
Coqui XTTS-v2
cpu
9.36s
34
Dia 1.6B-0626
cuda
10.53s
35
VoxCPM2 2B
cpu
14.38s
36
Sesame CSM-1B
cuda
15.42s
37
Chatterbox
cpu
16.32s
38
ZipVoice 123M
cpu
16.61s
39
OuteTTS 1.0 1B
cuda
17.15s
40
Miso TTS 8B
cuda
21.77s
41
Fish Speech 1.5
cpu
36.09s
42
Mars5-TTS
cuda
38.59s
43
Mars5-TTS
cpu
43.71s
44
Zonos v0.1
cpu
49.51s
45
OmniVoice
cpu
49.71s
46
Sesame CSM-1B
cpu
61.47s
47
F5-TTS v1
cpu
65.87s
48
ZipVoice 123M
cuda
142.27s
Prompt 5
[fr]"Bonjour, je m'appelle Cicero et je vais vous aider avec votre code aujourd'hui."