whatmodel.sh · find the best text-to-speech models you can run

Best voice cloning models for a 16GB Mac

A leaderboard of the best voice cloning models for a Mac with 16GB of memory. The best one that runs on it right now is VoxCPM2, followed by LongCat-AudioDiT-1B and Higgs Audio V3 TTS. Models are ranked on how clear the cloned voice is and how much it sounds like the original speaker. Models that run on it show the download that fits and the command to run it.

29 models · scores combine 13 benchmarks · updated how it works · find a leaderboard · benchmark your machine
task[all tasks][voice cloning]

Scores use reviewed voice cloning evaluations only. Compare scores within this task. Models without task measurements are excluded.

Models for 16GB RAM · Apple Silicon → ~11GB fast · reset
+ more
chip[M1][M1 Pro][M2][M2 Pro][M3][M4][M5][M6 (16GB)]
set[all sets][Seed-TTS test-en · Whisper large-v3 WER · 43][MiniMax TTS · 9-language speaker similarity · 3]

Filter the model list while keeping task scores. Models without a shared score scale are not yet calibrated; select a set to see its own scores.

Detect your exact chip or graphics card:

curl -G whatmodel.sh/tts -d max=0 --data-urlencode "mac=$(sysctl -n hw.memsize machdep.cpu.brand_string)"Mac

curl -G whatmodel.sh/tts -d max=0 --data-urlencode "ram=$(awk '/MemT/{print $2}' /proc/meminfo)" --data-urlencode "nv=$(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null)"Linux

curl.exe -G whatmodel.sh/tts -d max=0 --data-urlencode "ram=$((gcim Win32_ComputerSystem).TotalPhysicalMemory)" --data-urlencode "nv=$(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null)"Windows

$ terminal

detecting your OS…

Run curl "whatmodel.sh/tts?ram=16&gpu=apple"to get this list in your terminal (add &format=json for agents).

ram[8][16][24][32][48][64][96][128][192][256]GB
gpu[apple silicon][graphics card][none]
price[local][$20][$50][any]max per M chars

detecting your OS…

Score vs API price

#modeltask score↓where↓speed↓RAM↓get itsources
#modeltask score↓where↓speed↓RAM↓get itsources
1Qwen-Audio-3.0-TTS-Plus Alibaba72±5*†api $20.00/M charswww.alibabacloud.com ↗Qwen-Audio-3.0-TTS technical report
3OpenAudio S1 Fish Audio67±10*†api $15.00/M charsdocs.fish.audio ↗Fish Audio S2 Technical Report
8VoxCPM2 · bf16 (voxcpm) OpenBMB61±3local~5GBhow to run › UltraEval-Audio (OpenBMB) · TTS replication resultsQwen-Audio-3.0-TTS technical reportnineninesix/gepard-1.0 model card (Seed-TTS-eval benchmark table)
9LongCat-AudioDiT-1B · fp32 weights (official LongCat-AudioDiT repo, transformers>=5.3) Meituan60±6†local~5.7GBhow to run › meituan-longcat/LongCat-AudioDiT-3.5B model card (Seed benchmark table)
10Higgs Audio V3 TTS · bf16 Boson AI59±6*†local~10GBhow to run › Higgs Audio v3 comparison tables in SGLang-Omni cookbook (Boson AI contribution)
11OmniVoice · fp32 k2-fsa (Xiaomi)59±3local~3.3GBhow to run › Higgs Audio v3 comparison tables in SGLang-Omni cookbook (Boson AI contribution)OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models (arXiv:2604.00688v3)nineninesix/gepard-1.0 model card (Seed-TTS-eval benchmark table)nsanku TTS Benchmark (GhanaNLP community Space)
13Qwen3-TTS 12Hz 1.7B Base · bf16 (qwen-tts) Alibaba (Qwen)58±3local~4.5GBhow to run › UltraEval-Audio (OpenBMB) · TTS replication resultsHiggs Audio v3 comparison tables in SGLang-Omni cookbook (Boson AI contribution)Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech (arXiv:2605.20830v2)Qwen/Qwen3-TTS-12Hz-1.7B-Base model card
14IndexTTS (v1) · fp32 on CPU (index-tts repo CLI `indextts`) IndexTeam (bilibili)57±7local~1.2GBhow to run › DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation (arXiv:2510.12210v2)
16F5-TTS v1 Base · fp32 SWivid (SJTU X-LANCE)56±6local~1.4GBhow to run › DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation (arXiv:2510.12210v2)
17Fish Audio S2 Pro Fish Audio56±3api $15.00/M chars~11GBdocs.fish.audio ↗UltraEval-Audio (OpenBMB) · TTS replication resultsHiggs Audio v3 comparison tables in SGLang-Omni cookbook (Boson AI contribution)nineninesix/gepard-1.0 model card (Seed-TTS-eval benchmark table)Fish Audio S2 Technical Report
18Qwen3-TTS 12Hz 0.6B Base · bf16 (qwen-tts) Alibaba (Qwen)56±4local~2.5GBhow to run › UltraEval-Audio (OpenBMB) · TTS replication resultsQwen/Qwen3-TTS-12Hz-1.7B-Base model cardSGLang-Omni serving cookbooks (SGLang-Omni team measurements)
19IndexTTS-2 · fp32 (index-tts repo) IndexTeam (bilibili)54±3local~8.9GBhow to run › UltraEval-Audio (OpenBMB) · TTS replication resultsHiggs Audio v3 comparison tables in SGLang-Omni cookbook (Boson AI contribution)Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech (arXiv:2605.20830v2)OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models (arXiv:2604.00688v3)
20ZipVoice · fp32 (ZipVoice repo) k2-fsa (Xiaomi)54±6local~0.6GBhow to run › OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models (arXiv:2604.00688v3)
22Fun-CosyVoice3-0.5B-2512 · fp32 (CosyVoice repo) Alibaba (FunAudioLLM)53±3local~5.4GBhow to run › UltraEval-Audio (OpenBMB) · TTS replication resultsRaon-OpenTTS: Open Models and Data for Robust Text-to-Speech (arXiv:2605.20830v2)
23E2 TTS Base (F5-TTS reproduction) · fp32 SWivid (SJTU X-LANCE)53±4local~1.3GBhow to run › DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation (arXiv:2510.12210v2)F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (arXiv:2410.06885v1)
27Gemini 3.1 Flash TTS Preview Google53±7*api $50.00/M charsfal.ai ↗nsanku TTS Benchmark (GhanaNLP community Space)
28F5-TTS Base (v0) · fp32 SWivid (SJTU X-LANCE)52±6†local~1.4GBhow to run › F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (arXiv:2410.06885v1)
30Higgs Audio V2 · mlx-8bit (mlx-audio) Boson AI51±6*†local~7GBhow to run › Higgs Audio v3 comparison tables in SGLang-Omni cookbook (Boson AI contribution)
33CosyVoice2-0.5B · fp32 (CosyVoice repo) Alibaba (FunAudioLLM)48±3local~4.1GBhow to run › UltraEval-Audio (OpenBMB) · TTS replication resultsRaon-OpenTTS: Open Models and Data for Robust Text-to-Speech (arXiv:2605.20830v2)DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis (arXiv:2507.14988v1)DiSTAR: Diffusion over a Scalable Token Autoregressive Representation for Speech Generation (arXiv:2510.12210v2)
35Spark-TTS 0.5B · fp32 (Spark-TTS repo CLI) SparkAudio41±5local~3.9GBhow to run › DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis (arXiv:2507.14988v1)
36CosyVoice-300M · fp32 (CosyVoice repo) Alibaba (FunAudioLLM)40±5local~2.3GBhow to run › F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (arXiv:2410.06885v1)Amphion MaskGCT README · zero-shot TTS results table
40XTTS v2 · fp32 (coqui-tts 0.27.5) Coqui23±6local~1.9GBhow to run › ZS-TTS-Evaluation (Edresson Casanova) · zero-shot TTS metrics of XTTS, YourTTS, TorToiSe and StyleTTS 2Amphion MaskGCT README · zero-shot TTS results table
41StyleTTS 2 (LibriTTS) · fp32 (styletts2 PyPI package 0.1.6) Yinghao Aaron Li et al. (Columbia University)17±7*local~0.9GBhow to run › ZS-TTS-Evaluation (Edresson Casanova) · zero-shot TTS metrics of XTTS, YourTTS, TorToiSe and StyleTTS 2
42Tortoise TTS v2 · fp16 (neonbjb/tortoise-tts) Tortoise12±7*local~5.6GBhow to run › ZS-TTS-Evaluation (Edresson Casanova) · zero-shot TTS metrics of XTTS, YourTTS, TorToiSe and StyleTTS 2
43YourTTS · fp32 (coqui-tts) Coqui / Edresson Casanova et al.-1±7*†local~0.4GBhow to run › ZS-TTS-Evaluation (Edresson Casanova) · zero-shot TTS metrics of XTTS, YourTTS, TorToiSe and StyleTTS 2
—Eleven Flash v2.5 ElevenLabsnot yet calibratedapi $50.00/M charselevenlabs.io ↗Voxtral TTS
—Eleven v3 ElevenLabsnot yet calibratedapi $100.00/M charselevenlabs.io ↗Voxtral TTS
—Voxtral TTS (4B) · bf16 Mistralnot yet calibratedlocal~10GBhow to run › Voxtral TTS
—ZONOS2 8B · q8_0 (zonos2.cpp) Zyphranot scored yetlocal~8.8GBhow to run ›

+ 18 more don't fit your machine or budget · show them

47 of 47 catalogue models listed here · sources and licences

* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory