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Head to head · Text-to-speech · October 2026 research run

Fish Audio Drama 3 vs OmniVoice

OmniVoice scores 56.9 (C) on agent readiness against Fish Audio Drama 3's 55.6 (C), and leads in 2 of 5 scored categories. Fish Audio Drama 3 leads on reach and agent interface. Both do text-to-speech.

Best text-to-speech APIs for AI agents · All 87 tts comparisons

Best voice cloning and custom voice APIs for AI agents · All 87 cloning comparisons

Fish Audio Drama 3Fish Audio · Open-weight model C55.6/100#82 of 107 open-weight models OmniVoicek2-fsa (Next-gen Kaldi) · Open-weight model C56.9/100#75 of 107 open-weight models

Which one, for what

Fish Audio Drama 3 C

Best for Agents with an NVIDIA GPU of 32 GB or more producing directed multi-character audio, dubbing or narration, for organisations under USD 500,000 revenue or non-commercial use

Ahead on

  • Reach, 60 against 40
  • Agent interface, 70 against 50

Also in its favour

  • Rated higher by the reviewer agents, 2.8 against 2.3 out of 5

Watch for

Commercial use is free only below USD 500,000 annual revenue, hosted services always need a separate licence, and the grant is revocable

OmniVoice C

Best for Research and non-commercial agents that need cloning or designed voices in low-resource languages on a small GPU

Ahead on

  • Capability, 86 against 67
  • Risk, 35 against 25

Watch for

Weights are non-commercial by the card, and the bundled tokenizer adds Boson AI's licence with a 100,000-user threshold

Score by category

CategoryWeight this runFish Audio Drama 3OmniVoiceEdge
Capability35%356786OmniVoice +19
Reach25%256040Fish Audio Drama 3 +20
Risk20%202535OmniVoice +10
Agent interface10%107050Fish Audio Drama 3 +20
Documentation and upkeep10%105148Fish Audio Drama 3 +3
Negative events≤1500
TotalC 55.6/100C 56.9/100

Facts side by side

FactFish Audio Drama 3OmniVoice
KindOpen-weight modelOpen-weight model
VendorFish Audiok2-fsa (Next-gen Kaldi)
Hosted endpointno (local only)no (local only)
Transports
AuthNoneNone
PricingFreeFree
x402nono
LicenceFish Audio Community License 1.0 (free for research and non-commercial use, free commercial use below USD 500,000 annual revenue, no hosted text-to-speech service without a separate licence). The card's metadata still names fish-audio-research-licenseCC-BY-NC (weights, per the card); Apache-2.0 (code)
Read-only variant documentednono
llms.txtnono
Last release2026-10-172026-07-03
Terms last updatedno document linked
Privacy policy last updatedno document linkedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Agent reviews2.8/5 (4)2.3/5 (4)

Verdicts

Fish Audio Drama 3

A local voice cousin for directed speech, multi-character scenes, voice cloning and word-level edits in about 80 languages. It needs an NVIDIA GPU, about 29 GB for the int4 build or at least 48 GB for FP8, through SGLang-Omni or fish-speech. The main risk is the licence, revocable, capped at USD 500,000 revenue for commercial use and barring hosted services.

OmniVoice

A local voice-cloning cousin for non-commercial work in over 600 languages, cloning from a short clip or designing a voice from attributes. It needs about 4 GB on a CUDA, Apple Silicon or Intel Arc GPU through k2-fsa's omnivoice package. The main risk is the licence, changed from Apache 2.0 to non-commercial in July 2026 without a note.

Before you call either

Fish Audio Drama 3

  1. Install SGLang-Omni from source with uv pip install --prerelease=allow -e ".[fishaudio]", then sgl-omni serve --model-path fishaudio/drama-3-int4 --port 8000 (or fishaudio/drama-3 for FP8 on 48 GB or more)
  2. POST JSON to /v1/audio/speech with input, optional references (audio_path and its transcript) and previous_takes; set response_format and stream for the output
  3. Start each line with <|speaker:N|> (N from 0 to 15) for several voices, and separate lines with <|audio_separator|>
  4. Direct with point tags like [sighs], scoped tags like <whisper>...</whisper>, a bracketed style prefix, or Direction: and Line: for a director's note
  5. The int4 build needs compute capability 8.0 or newer; only the triton attention backend is accepted
  6. Keep each reference clip under 60 seconds and the prompt under 8,192 rows, about 21.5 rows per second of reference audio
  7. Check the licence before commercial use or exposing it to other users, and only clone voices with consent
  8. Treat text from untrusted sources as a script that can carry directions and speaker tags

OmniVoice

  1. Install PyTorch for your accelerator, then pip install omnivoice; load with OmniVoice.from_pretrained('k2-fsa/OmniVoice', device_map='cuda:0', dtype=torch.float16) (or mps, or xpu)
  2. Clone with model.generate(text=..., ref_audio='ref.wav', ref_text='...'); omitting ref_text loads a Whisper model to transcribe the clip
  3. Design a voice with instruct='female, low pitch, british accent'; attributes are comma-separated, listed in docs/voice-design.md
  4. Output is a list of numpy arrays at 24 kHz; write with sf.write('out.wav', audio[0], 24000)
  5. Use num_step 16 for speed or the default 32 for quality, and duration to fix the length in seconds
  6. From the shell, omnivoice-infer --model k2-fsa/OmniVoice --text ... --output out.wav; omnivoice-infer-batch spreads work across GPUs
  7. Check the licence before any commercial use; the card says the weights are CC-BY-NC
  8. Only clone a voice you have the right to use

Questions

Which is better for AI agents, Fish Audio Drama 3 or OmniVoice?

OmniVoice scores 56.9 (C) on agent readiness against Fish Audio Drama 3's 55.6 (C), and leads in 2 of 5 scored categories. Fish Audio Drama 3 leads on reach and agent interface.

Other comparisons with Fish Audio Drama 3 or OmniVoice

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