whatmodel.sh / tts / Higgs Audio V3 TTS

Higgs Audio V3 TTS is an open-weights text-to-speech model from Boson AI, released June 2026. Its published size is 4B parameters. Licence: boson-higgs-audio-v3-research-nc.

65.0±3.4#17 of 118 text-to-speech modelsfrom 7 benchmark results across 4 sources

Score within the Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot comparison set only.

$ how it compares

The text-to-speech models ranked either side of Higgs Audio V3 TTS, out of 148 with a score, then more from Boson AI.

#modelscorewhereRAMreleased
21Eleven v3 ElevenLabs65±1api $100.00/M chars2026-02
22Chirp 3: HD Google65±4api $30.00/M chars2025-03
23Higgs Audio V3 TTS Boson AI65±3api $15.00/M chars +local~10GB2026-06
24Raon-OpenTTS-0.3B KRAFTON65±2comparison only2026-04
25Qwen3-TTS 12Hz 1.7B Base Alibaba (Qwen)65±1local~4.5GB2026-01
more from Boson AI
66Higgs Audio V2 Boson AI55±3local~7GB2025-07

see all text-to-speech models · find the ones that fit your machine

$ what it's good at

voice cloning▁·▁▁▁▁▁▁▇█▃▃ #9 of 37 * · 37% of its score · 1 test

Beats Gemini 3.1 Flash TTS Preview, OmniVoice here, though they rank higher overall. Trails VoxCPM2 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Seed-TTS-Eval · test-en/test-zh macro mean error lab1.1% ✎▄··▄▄····█▄▄ beats 6/6avg 3.7%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 37%typical
other tests6 not in a task · 58% of its score
testresultvs the others in its rundifficultycountswhy
RW-Voice-EQ TTS · Language Code-Switching (human)3.38 / 5 ✎█··▄·······▄ beats 2/3medium · avg 2.67 / 5▇▇▇▇▇▇▇▇ 20%at its level
RVCBench LibriTTS clean voice cloning · ECAPA speaker similarity56.0% ✎▃·····▂▂▂▃█▆ beats 7/15medium · avg 46%▇▇▇▇▇▇ 16%blunt · at its level
MiniMax multilingual test set · 23-language mean error lab2.7% ✎▃·▃·▃·····▃█ beats 6/6avg 44%▇▇▇ 8.1%sharp · noisy
Arabic TTS Arena · community blind A/B rating, 2026-09-24 snapshot1072.8 ✎▂▂··▃·█▅···▂ beats 11/12avg 1018▇▇▇ 7.7%blunt
CV3-Eval multilingual voice clone · 9-language mean error lab4.4% ✎▃·····▃···▅█ beats 6/6avg 20%▇▇ 5.9%noisy
RVCBench LibriTTS clean voice cloning · Whisper-medium WER5.0% ✎▂▂▂··▂·▃▃▃█▂ beats 11/15avg 8.6%▇ 0.2%blunt · noisy

$ where to run it

Through an API

api · $15.00/M chars · docs.boson.ai ↗ · price sourceUSD per 1M characters: Boson AI lists Higgs TTS 3 text input at $0.015 / 1K characters; generated audio free (x1000). Prepaid usage-based credits. Product: Boson API. API model: Higgs TTS 3. Settings: standard. Price basis: published list rate. Exclusions: taxes. Currency: USD. Boson AI official pricing docs, observed 2026-09-25.

Other ways to run it

version

  1. Run it as published · needs ~10.1 GB, NVIDIA only · from github.com/boson-ai (official)
    hf download bosonai/higgs-audio-v3-tts-4b && sgl-omni serve --model-path bosonai/higgs-audio-v3-tts-4b --port 8000

Official weights and documentation: huggingface.co/bosonai ↗

$ how the score was worked out · Higgs Audio v3 comparison tab… 51%, RW-Voice-EQ Bench (Hume AI) 20%, RVCBench: Benchmarking Robust… 16% and 1 more

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
Higgs Audio v3 comparison tables in SGLang-Omni cookbook (Boson AI contribution) · lab-reported3▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 51%Apache-2.0
RW-Voice-EQ Bench (Hume AI)1▇▇▇▇▇▇ 20%CC BY 4.0
RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models (arXiv:2602.00443v2)2▇▇▇▇▇ 16%CC BY 4.0
Arabic TTS Arena (Navid AI) · leaderboard snapshot 2026-09-241▇▇ 8%Apache-2.0
prior · pull toward the middle▇ 5%
weighted average= 65.0

$ improve this page

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data updated · sources and licences · json