{
  "data": {
    "a": {
      "slug": "audio8-tts-realistic-0-6b",
      "name": "Audio8-TTS-Realistic 0.6B",
      "vendor": "Edge0",
      "vendorUrl": "https://edge0.ai",
      "kind": "weights",
      "category": "text-to-speech",
      "summary": "Audio8-TTS-Realistic 0.6B is Edge0's open-weight text-to-speech model for 23 languages, a 0.6B dual-autoregressive model with a bundled 44.1 kHz codec that speaks with or without a reference voice cloned from one clip and its transcript.",
      "url": "https://www.anchorterminal.com/tools/audio8-tts-realistic-0-6b",
      "markdownUrl": "https://www.anchorterminal.com/tools/audio8-tts-realistic-0-6b.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/audio8-tts-realistic-0-6b.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/audio8-tts-realistic-0-6b.json",
      "repo": "https://huggingface.co/Edge0/Audio8-TTS-Realistic-0.6b",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "huggingface",
          "name": "Edge0/Audio8-TTS-Realistic-0.6b"
        }
      ],
      "auth": "none",
      "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. The repository isn't gated (checked 2026-10-30). The inference, fine-tuning and SGLang Omni adapter code is public at github.com/Edge0-AI/Audio8_TTS.",
      "pricing": "free",
      "pricingNotes": "Free to download under Apache 2.0 for the code and the weights, by the card and the LICENSE file in both repositories. Running it costs the hardware, 2.57 GB of files (BF16 safetensors plus a pickled codec), on a CUDA GPU as the card recommends. Edge0 runs no paid API for it; the Hugging Face Playground runs on ZeroGPU with a daily allowance (checked 2026-10-30).",
      "priceSummary": "Free",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-10-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-30"
      },
      "docsUrl": "https://github.com/Edge0-AI/Audio8_TTS",
      "capabilities": [
        "speech.tts",
        "speech.languages",
        "speech.streaming",
        "voice.clone",
        "model.open-weights"
      ],
      "tags": [
        "open-weights",
        "model",
        "text-to-speech",
        "voice-cloning",
        "multilingual",
        "dual-ar",
        "custom-code",
        "safetensors",
        "self-hosted"
      ],
      "lastRelease": "2026-10-27",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 51.5,
        "grade": "D",
        "agentReady": false,
        "rank": 0,
        "ranked": false,
        "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools",
        "rankOf": 1239,
        "categoryRank": 18,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "interface": 60,
          "reach": 55,
          "risk": 40,
          "upkeep": 57
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-30"
        },
        "negative": 0,
        "verdict": "A small local voice-cloning cousin for 23 languages under Apache 2.0, cloning from one clip and its exact transcript. It needs about 3 GB on a CUDA GPU through Transformers with Edge0's remote code, or Edge0's SGLang Omni plugin for a speech endpoint. The main risks are remote code and a pickled codec, and no independent benchmark yet.",
        "bestFor": "Agents that need multilingual voice cloning on a small CUDA GPU under a permissive licence, and can accept remote code",
        "strengths": [
          "Apache 2.0 for code and weights, ungated, with no use policy or threshold",
          "2.57 GB of files, about 3.1 GB in memory, 601M parameters plus the codec",
          "23 languages with per-language error rates published, including the weak ones",
          "An OpenAI-compatible /v1/audio/speech service through Edge0's SGLang Omni plugin, with wav, pcm or codec-code output and opt-in streaming",
          "Fine-tuning scripts and inference code in Edge0's public GitHub repository"
        ],
        "weaknesses": [
          "Loads only with trust_remote_code, and the codec ships as a 1.35 GB PyTorch pickle",
          "Not in any released version of Transformers, vLLM, SGLang, llama.cpp, Ollama or LM Studio, and no quantised build from Edge0",
          "No independent benchmark result; the card's numbers are Edge0's own, and the TTS Arena claim couldn't be checked",
          "A 2,048-position context shared by the reference, its transcript and the text, so long passages must be split",
          "No safety results, watermarking or security contact, for a model that clones a voice from one clip"
        ],
        "agentNotes": [
          "Pin `transformers\u003e=4.57.0,\u003c5`; Transformers 5 can produce all-zero codes with this custom code",
          "Load with `AutoProcessor.from_pretrained('Edge0/Audio8-TTS-Realistic-0.6b', trust_remote_code=True)` and `AutoModel.from_pretrained(..., trust_remote_code=True, dtype=torch.bfloat16)`; review the four .py files first",
          "Clone with `processor(text=[...], reference_audio=['ref.wav'], reference_text=['exact transcript'], return_tensors='pt')`; a transcript that doesn't match the clip lowers stability",
          "Decode with `model.decode_audio(output.codes)` and write at `model.config.codec_sample_rate` (44,100 Hz)",
          "Split long text into short utterances; reference, transcript and text share 2,048 positions",
          "For an HTTP endpoint, install Edge0's SGLang Omni adapter at the pinned SGLang Omni 0.1.0 and call `/v1/audio/speech`; start the server with `AUDIO8_TTS_STREAM_ENABLED=1` for streaming",
          "Only clone a voice you have permission to use, and disclose synthetic audio"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "D",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 51.5
          }
        ],
        "editorialScores": {
          "interface": 60,
          "reach": 55,
          "risk": 40,
          "upkeep": 57
        },
        "provenanceScore": 61,
        "checked": {
          "categories": {
            "interface": "2026-10-30",
            "reach": "2026-10-30",
            "risk": "2026-10-30",
            "upkeep": "2026-10-30"
          },
          "last": "2026-10-30",
          "oldest": "2026-10-30",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "git clone https://github.com/Edge0-AI/Audio8_TTS.git \u0026\u0026 cd Audio8_TTS\npip install -r requirements.txt\n# voice cloning; drop the two reference flags to speak without a reference\npython audio8_tts_infer.py --model Edge0/Audio8-TTS-Realistic-0.6b --text \"Welcome to Audio8 TTS.\" --reference-audio reference.wav --reference-text \"The exact transcript of the recording.\" --output outputs/realistic.wav"
      },
      "letme": {
        "capability": "https://letme.dev/speech.tts",
        "tool": "https://letme.dev/audio8-tts-realistic-0-6b"
      },
      "weights": {
        "trainedBy": "Edge0",
        "builtOn": "Edge0/Audio8-TTS-Preview-0.6b (the card's base_model, fine-tuned from it; Apache 2.0), whose slow branch is Qwen2.5 0.5B by the technical report (Apache 2.0)",
        "params": "0.6B (601,159,424 BF16 parameters by the Hub's count, without the bundled codec)",
        "context": 2048,
        "goodFor": "Zero-shot voice cloning from one clip and its transcript, or speech without a reference, in 23 languages, on a small CUDA GPU, under Apache 2.0.",
        "runtimes": [],
        "builds": [
          {
            "name": "Audio8-TTS-Realistic-0.6b",
            "url": "https://huggingface.co/Edge0/Audio8-TTS-Realistic-0.6b",
            "who": "publisher",
            "precision": "bf16",
            "sizeGB": 2.57,
            "memoryGB": 8,
            "format": "safetensors",
            "note": "model.safetensors 1.20 GB plus the codec as codec.pth, a 1.35 GB PyTorch pickle, and the tokenizer; 2,565,567,480 bytes summed from the Hub's file list. 2.57 GB × 1.2 = 3.1 GB"
          }
        ],
        "run": "git clone https://github.com/Edge0-AI/Audio8_TTS.git \u0026\u0026 cd Audio8_TTS \u0026\u0026 pip install -r requirements.txt \u0026\u0026 python audio8_tts_infer.py --model Edge0/Audio8-TTS-Realistic-0.6b --text \"Welcome to Audio8 TTS.\" --output outputs/realistic.wav",
        "runBuild": "Audio8-TTS-Realistic-0.6b",
        "checked": "2026-10-30",
        "minMemoryGB": 8
      },
      "family": {
        "lab": "Edge0",
        "family": "Audio8-TTS",
        "url": "https://www.anchorterminal.com/open-weights/#edge0",
        "others": [
          {
            "name": "Audio8-TTS-Preview-0.6b",
            "url": "https://huggingface.co/Edge0/Audio8-TTS-Preview-0.6b",
            "params": "0.6B (601,159,424 by the Hub's count, without the codec)"
          },
          {
            "name": "Audio8-TTS-Preview-0.1b",
            "url": "https://huggingface.co/Edge0/Audio8-TTS-Preview-0.1b",
            "params": "0.17B (169,779,904 by the Hub's count)"
          }
        ],
        "olderCount": 2
      },
      "alsoIn": [
        "voice-cloning"
      ],
      "area": "voice",
      "provenance": {
        "legalEntity": "Edge0 (edge0.ai), which names no legal entity or location on its site. The technical report's authors give their affiliation as AutoArk, and commit metadata in Edge0-AI/Audio8_TTS uses an autoark.ai domain",
        "domain": "edge0.ai",
        "domainRegistered": "2026-09-02",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://huggingface.co/Edge0/Audio8-TTS-Realistic-0.6b/commits/main",
        "securityTxt": "none",
        "checked": "2026-10-30",
        "notes": [
          "edge0.ai links huggingface.co/Edge0 and github.com/Edge0-AI, and the card links back to github.com/Edge0-AI/Audio8_TTS. Hugging Face shows the Edge0 organisation as not verified. The earlier Hugging Face organisation name Audio8 redirects to Edge0, and the GitHub repository's older merges came from an Audio8-AI organisation.",
          "Nothing is hosted, so the licence stands in for terms of service and no privacy policy is scored.",
          "The Hugging Face repository was created on 14 October 2026 with a commit titled as a private release; the weights and code were last changed that day. The GitHub release commit and the Playground came on 27 October 2026, the earliest dated public release found, so firstReleased is 27 October. The Hub doesn't say when the repository was made public.",
          "edge0.ai/.well-known/security.txt answered 404 and edge0.ai serves no robots.txt on 30 October 2026. RDAP gives the domain's registration as 2 September 2026."
        ],
        "score": 61
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/audio8-tts-realistic-0-6b.json"
    },
    "answer": "Fish Audio Drama 3 scores 55.6 (C) on agent readiness against Audio8-TTS-Realistic 0.6B's 51.5 (D), and leads in 2 of 4 scored categories. Audio8-TTS-Realistic 0.6B leads on risk and documentation and upkeep.",
    "b": {
      "slug": "fish-audio-drama-3",
      "name": "Fish Audio Drama 3",
      "vendor": "Fish Audio",
      "vendorUrl": "https://fish.audio",
      "kind": "weights",
      "category": "text-to-speech",
      "summary": "Fish Audio Drama 3 is Fish Audio's open-weight text-to-speech model, a 35B mixture of experts with 3B active built on Qwen3.5-35B-A3B, that clones voices, takes plain-language direction and voices multi-speaker scenes, under the Fish Audio Community License.",
      "url": "https://www.anchorterminal.com/tools/fish-audio-drama-3",
      "markdownUrl": "https://www.anchorterminal.com/tools/fish-audio-drama-3.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fish-audio-drama-3.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fish-audio-drama-3.json",
      "repo": "https://huggingface.co/fishaudio/drama-3",
      "license": "Fish 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-license",
      "transports": [],
      "packages": [
        {
          "registry": "huggingface",
          "name": "fishaudio/drama-3"
        },
        {
          "registry": "huggingface",
          "name": "fishaudio/drama-3-int4"
        }
      ],
      "auth": "none",
      "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. Neither fishaudio/drama-3 nor fishaudio/drama-3-int4 is gated (checked 2026-10-23). The licence says using or accessing the files binds you to it. The fish-speech code is public on GitHub.",
      "pricing": "free",
      "pricingNotes": "Free to download. Under the Fish Audio Community License 1.0 (13 October 2026), research and non-commercial use is free, commercial use is free while you and your affiliates have under USD 500,000 annual revenue, and offering it as a hosted text-to-speech, voice or cloning service needs a separate written licence at any size. Running it costs the hardware, an NVIDIA GPU with at least 48 GB for the FP8 build per Fish Audio's install guide. Fish Audio's own API sells `drama-3` at $50 per million UTF-8 bytes, $10 until 12 November 2026 (checked 2026-10-23).",
      "priceSummary": "Free",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-10-23).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-23"
      },
      "docsUrl": "https://speech.fish.audio/inference/",
      "capabilities": [
        "speech.tts",
        "speech.languages",
        "speech.streaming",
        "voice.clone",
        "model.open-weights"
      ],
      "tags": [
        "open-weights",
        "model",
        "moe",
        "text-to-speech",
        "voice-cloning",
        "multi-speaker",
        "speech-editing",
        "inline-tags",
        "multilingual",
        "revenue-threshold",
        "fp8",
        "int4",
        "safetensors",
        "self-hosted",
        "new"
      ],
      "lastRelease": "2026-10-17",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 55.6,
        "grade": "C",
        "agentReady": false,
        "rank": 0,
        "ranked": false,
        "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools",
        "rankOf": 1239,
        "categoryRank": 15,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "capability": 67,
          "interface": 70,
          "reach": 60,
          "risk": 25,
          "upkeep": 51
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-23"
        },
        "negative": 0,
        "verdict": "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.",
        "bestFor": "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",
        "strengths": [
          "Up to 16 voices per request, cloning from several references, revision by note and word-level editing by infilling, all in one model",
          "Independently run on the Open TTS Leaderboard, with an English WER of 1.19% without cloning and 2.66% with it",
          "An int4 build in Fish Audio's organisation that roughly halves the files to 24.0 GB",
          "Every prompt format and control is written out in the technical report, and SGLang-Omni serves it behind an OpenAI-style speech endpoint with streaming",
          "Hashed files in Fish Audio's own organisation, ungated"
        ],
        "weaknesses": [
          "Commercial use is free only below USD 500,000 annual revenue, hosted services always need a separate licence, and the grant is revocable",
          "The card's licence metadata still names the Research License with a broken link, after a release-day licence switch",
          "NVIDIA only, and not in any released version of Transformers, vLLM, SGLang, llama.cpp, Ollama or LM Studio",
          "The codec ships as a PyTorch pickle, and there are no safety results or security contact",
          "No reply from Fish Audio to any of its 6 Hugging Face discussions"
        ],
        "agentNotes": [
          "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)",
          "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",
          "Start each line with `\u003c|speaker:N|\u003e` (N from 0 to 15) for several voices, and separate lines with `\u003c|audio_separator|\u003e`",
          "Direct with point tags like `[sighs]`, scoped tags like `\u003cwhisper\u003e...\u003c/whisper\u003e`, a bracketed style prefix, or `Direction:` and `Line:` for a director's note",
          "The int4 build needs compute capability 8.0 or newer; only the triton attention backend is accepted",
          "Keep each reference clip under 60 seconds and the prompt under 8,192 rows, about 21.5 rows per second of reference audio",
          "Check the licence before commercial use or exposing it to other users, and only clone voices with consent",
          "Treat text from untrusted sources as a script that can carry directions and speaker tags"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2.8,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 55.6
          }
        ],
        "editorialScores": {
          "capability": 67,
          "interface": 70,
          "reach": 60,
          "risk": 25,
          "upkeep": 51
        },
        "provenanceScore": 67,
        "checked": {
          "categories": {
            "capability": "2026-10-23",
            "interface": "2026-10-23",
            "reach": "2026-10-23",
            "risk": "2026-10-23",
            "upkeep": "2026-10-23"
          },
          "last": "2026-10-23",
          "oldest": "2026-10-23",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "git clone https://github.com/sgl-project/sglang-omni.git \u0026\u0026 cd sglang-omni\nuv venv -p 3.12 .venv \u0026\u0026 . .venv/bin/activate\nuv pip install --prerelease=allow -e \".[fishaudio]\"\nhf download fishaudio/drama-3-int4   # or fishaudio/drama-3 for the FP8 build\nsgl-omni serve --model-path fishaudio/drama-3-int4 --port 8000",
        "http": "curl -X POST http://localhost:8000/v1/audio/speech \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"input\": \"\u003c|speaker:0|\u003e [sighs] Fine. If we miss it, it is on you.\", \"references\": [{\"audio_path\": \"/path/to/reference.wav\", \"text\": \"Transcript of the reference clip.\"}], \"response_format\": \"wav\"}' \\\n  --output out.wav"
      },
      "letme": {
        "capability": "https://letme.dev/speech.tts",
        "tool": "https://letme.dev/fish-audio-drama-3"
      },
      "sameCompany": [
        "fish-audio-s2-pro",
        "fish-audio-tts",
        "fish-audio-voice-cloning"
      ],
      "weights": {
        "trainedBy": "Fish Audio",
        "builtOn": "Qwen/Qwen3.5-35B-A3B (named in the technical report as the backbone it's initialised from, not on the card; Apache 2.0)",
        "params": "35.9B (35B backbone with about 3B active per token, per the card; 35,899,643,008 by the Hub's count)",
        "context": 16384,
        "goodFor": "Directed, expressive speech for multi-character scenes, long-form narration and dubbing, with voice cloning, revision by note and word-level editing, on an NVIDIA GPU.",
        "runtimes": [],
        "builds": [
          {
            "name": "drama-3-int4",
            "url": "https://huggingface.co/fishaudio/drama-3-int4",
            "who": "publisher",
            "precision": "int4",
            "sizeGB": 24,
            "memoryGB": 32,
            "format": "safetensors",
            "note": "W4A16 GPTQ-format experts and attention projections, round-to-nearest with no calibration, quantised by AK (akhaliq) and duplicated into the fishaudio organisation on 14 October 2026; its card calls it unofficial. 22.1 GB of safetensors plus codec.pth, excluding the evaluation audio. Needs compute capability 8.0 or newer"
          },
          {
            "name": "drama-3",
            "url": "https://huggingface.co/fishaudio/drama-3",
            "who": "publisher",
            "precision": "fp8",
            "sizeGB": 41.5,
            "memoryGB": 64,
            "format": "safetensors",
            "note": "The release itself, MoE experts in block-scaled FP8 with the rest in BF16, plus the 1.87 GB codec.pth pickle. Fish Audio's install guide asks for at least 48 GB on an NVIDIA GPU"
          }
        ],
        "run": "git clone https://github.com/sgl-project/sglang-omni.git \u0026\u0026 cd sglang-omni \u0026\u0026 uv pip install --prerelease=allow -e \".[fishaudio]\" \u0026\u0026 hf download fishaudio/drama-3-int4 \u0026\u0026 sgl-omni serve --model-path fishaudio/drama-3-int4 --port 8000",
        "runBuild": "drama-3-int4",
        "checked": "2026-10-23",
        "minMemoryGB": 32
      },
      "family": {
        "lab": "Fish Audio",
        "family": "Drama",
        "url": "https://www.anchorterminal.com/open-weights/#fishaudio",
        "olderCount": 8
      },
      "alsoIn": [
        "voice-cloning"
      ],
      "area": "voice",
      "provenance": {
        "legalEntity": "39 AI, Inc. (the licensor named in the Fish Audio Community License). fish.audio's terms of use name Hanabi AI Inc. as the provider of the hosted services",
        "domain": "fish.audio",
        "domainRegistered": "2023-12-11",
        "endpointOnVendorDomain": null,
        "terms": "https://huggingface.co/fishaudio/drama-3/blob/main/LICENSE",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://huggingface.co/fishaudio/drama-3/commits/main",
        "securityTxt": "none",
        "checked": "2026-10-23",
        "notes": [
          "The files sit in the fishaudio organisation on Hugging Face, which github.com/fishaudio/fish-speech, the technical report and Fish Audio's launch post link to.",
          "Nothing is hosted for this listing, so the licence stands in for terms of service and no privacy policy is scored.",
          "The Hugging Face history is nine commits from 13 to 17 October 2026 (the upload, the licence file and its rename, card edits, the report link and vLLM-Omni instructions). The weights haven't changed since the first commit. fishaudio/drama-3-int4 has two commits on 14 October 2026.",
          "fish.audio/.well-known/security.txt answered 404 on 23 October 2026 and fishaudio/fish-speech has no SECURITY.md. The domain registration date is carried from the fish-audio-tts check of 17 October 2026."
        ],
        "score": 67
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/fish-audio-drama-3.json",
      "live": {
        "slug": "fish-audio-drama-3",
        "securityTxt": {
          "url": "https://fish.audio/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-30T15:38:15.607348268Z"
        },
        "domain": {
          "domain": "fish.audio",
          "registered": "2023-12-11",
          "source": "https://rdap.centralnic.com/audio/domain/fish.audio",
          "checkedAt": "2026-10-25T13:53:06.631962844Z"
        },
        "pages": [
          {
            "url": "https://huggingface.co/fishaudio/drama-3/commits/main",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-30T05:41:46.302791735Z",
            "changedAt": "2026-10-30T05:41:46.302791735Z",
            "fingerprint": "49267b2671a9"
          },
          {
            "url": "https://huggingface.co/fishaudio/drama-3/blob/main/LICENSE",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-30T05:41:43.767150998Z",
            "changedAt": "2026-10-30T05:41:43.767150998Z",
            "fingerprint": "48187bc6047c"
          }
        ],
        "updatedAt": "2026-10-30T15:38:15.607348268Z"
      }
    },
    "facts": [
      {
        "a": "Open-weight model",
        "b": "Open-weight model",
        "name": "Kind"
      },
      {
        "a": "Edge0",
        "b": "Fish Audio",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Fish 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-license",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-27",
        "b": "2026-10-17",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2026-10-13",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "2.8/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Fish Audio Drama 3 scores 55.6 (C) on agent readiness against Audio8-TTS-Realistic 0.6B's 51.5 (D), and leads in 2 of 4 scored categories. Audio8-TTS-Realistic 0.6B leads on risk and documentation and upkeep.",
        "question": "Which is better for AI agents, Audio8-TTS-Realistic 0.6B or Fish Audio Drama 3?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Risk, 40 against 25",
          "Documentation and upkeep, 57 against 51"
        ],
        "also": null,
        "goodFor": "Agents that need multilingual voice cloning on a small CUDA GPU under a permissive licence, and can accept remote code",
        "slug": "audio8-tts-realistic-0-6b",
        "watchFor": "Loads only with trust_remote_code, and the codec ships as a 1.35 GB PyTorch pickle"
      },
      {
        "aheadOn": [
          "Reach, 60 against 55",
          "Agent interface, 70 against 60"
        ],
        "also": null,
        "goodFor": "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",
        "slug": "fish-audio-drama-3",
        "watchFor": "Commercial use is free only below USD 500,000 annual revenue, hosted services always need a separate licence, and the grant is revocable"
      }
    ],
    "job": {
      "capability": "speech.tts",
      "name": "Text-to-speech"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-s2-pro.json",
        "title": "Audio8-TTS-Realistic 0.6B vs Fish Audio S2 Pro",
        "url": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-s2-pro"
      },
      {
        "json": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-ming-3-0-tts-0-5b.json",
        "title": "Audio8-TTS-Realistic 0.6B vs Ming-3.0-tts-0.5B",
        "url": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-ming-3-0-tts-0-5b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-ming-3-0-tts-tiny.json",
        "title": "Audio8-TTS-Realistic 0.6B vs Ming-3.0-tts-tiny",
        "url": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-ming-3-0-tts-tiny"
      },
      {
        "json": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-omnivoice.json",
        "title": "Audio8-TTS-Realistic 0.6B vs OmniVoice",
        "url": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-omnivoice"
      },
      {
        "json": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-qwen3-tts-1-7b-customvoice.json",
        "title": "Audio8-TTS-Realistic 0.6B vs Qwen3-TTS 12Hz 1.7B CustomVoice",
        "url": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-qwen3-tts-1-7b-customvoice"
      },
      {
        "json": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-vieneu-tts-v3-turbo.json",
        "title": "Audio8-TTS-Realistic 0.6B vs VieNeu-TTS v3 Turbo",
        "url": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-vieneu-tts-v3-turbo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-fish-audio-s2-pro.json",
        "title": "Fish Audio Drama 3 vs Fish Audio S2 Pro",
        "url": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-fish-audio-s2-pro"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-ming-3-0-tts-0-5b.json",
        "title": "Fish Audio Drama 3 vs Ming-3.0-tts-0.5B",
        "url": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-ming-3-0-tts-0-5b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-ming-3-0-tts-tiny.json",
        "title": "Fish Audio Drama 3 vs Ming-3.0-tts-tiny",
        "url": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-ming-3-0-tts-tiny"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-omnivoice.json",
        "title": "Fish Audio Drama 3 vs OmniVoice",
        "url": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-omnivoice"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-qwen3-tts-1-7b-customvoice.json",
        "title": "Fish Audio Drama 3 vs Qwen3-TTS 12Hz 1.7B CustomVoice",
        "url": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-qwen3-tts-1-7b-customvoice"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-vieneu-tts-v3-turbo.json",
        "title": "Fish Audio Drama 3 vs VieNeu-TTS v3 Turbo",
        "url": "https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-vieneu-tts-v3-turbo"
      }
    ],
    "scores": [
      {
        "key": "capability",
        "name": "Capability",
        "pending": true,
        "weight": 35
      },
      {
        "audio8-tts-realistic-0-6b": 55,
        "by": 5,
        "edge": "fish-audio-drama-3",
        "fish-audio-drama-3": 60,
        "key": "reach",
        "name": "Reach",
        "weight": 25
      },
      {
        "audio8-tts-realistic-0-6b": 40,
        "by": 15,
        "edge": "audio8-tts-realistic-0-6b",
        "fish-audio-drama-3": 25,
        "key": "risk",
        "name": "Risk",
        "weight": 20
      },
      {
        "audio8-tts-realistic-0-6b": 60,
        "by": 10,
        "edge": "fish-audio-drama-3",
        "fish-audio-drama-3": 70,
        "key": "interface",
        "name": "Agent interface",
        "weight": 10
      },
      {
        "audio8-tts-realistic-0-6b": 57,
        "by": 6,
        "edge": "audio8-tts-realistic-0-6b",
        "fish-audio-drama-3": 51,
        "key": "upkeep",
        "name": "Documentation and upkeep",
        "weight": 10
      }
    ],
    "summary": "Fish Audio Drama 3 scores 55.6 (C) on agent readiness against Audio8-TTS-Realistic 0.6B's 51.5 (D), and leads in 2 of 4 scored categories. Audio8-TTS-Realistic 0.6B leads on risk and documentation and upkeep. Both do text-to-speech.",
    "tutorials": [],
    "verdicts": {
      "audio8-tts-realistic-0-6b": "A small local voice-cloning cousin for 23 languages under Apache 2.0, cloning from one clip and its exact transcript. It needs about 3 GB on a CUDA GPU through Transformers with Edge0's remote code, or Edge0's SGLang Omni plugin for a speech endpoint. The main risks are remote code and a pickled codec, and no independent benchmark yet.",
      "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."
    }
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    "json": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-drama-3.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-drama-3.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-drama-3.min.md"
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  "markdown": "Fish Audio Drama 3 scores 55.6 (C) on agent readiness against Audio8-TTS-Realistic 0.6B's 51.5 (D), and leads in 2 of 4 scored categories. Audio8-TTS-Realistic 0.6B leads on risk and documentation and upkeep. Both do text-to-speech.\n\n- Audio8-TTS-Realistic 0.6B: grade D, 51.5/100, rank #103 of 117 open-weight models. Markdown https://www.anchorterminal.com/tools/audio8-tts-realistic-0-6b.md · JSON https://www.anchorterminal.com/api/v1/tools/audio8-tts-realistic-0-6b.json\n- Fish Audio Drama 3: grade C, 55.6/100, rank #86 of 117 open-weight models. Markdown https://www.anchorterminal.com/tools/fish-audio-drama-3.md · JSON https://www.anchorterminal.com/api/v1/tools/fish-audio-drama-3.json\n- Best text-to-speech APIs for AI agents: https://www.anchorterminal.com/best/text-to-speech/index.md\n- All 94 tts comparisons: https://www.anchorterminal.com/compare/text-to-speech/index.md\n- Best voice cloning and custom voice APIs for AI agents: https://www.anchorterminal.com/best/voice-cloning/index.md\n- All 94 cloning comparisons: https://www.anchorterminal.com/compare/voice-cloning/index.md\n\n## Which one, for what\n\n### Audio8-TTS-Realistic 0.6B (D)\n\nGood for: Agents that need multilingual voice cloning on a small CUDA GPU under a permissive licence, and can accept remote code\n\nAhead on:\n- Risk, 40 against 25\n- Documentation and upkeep, 57 against 51\n\nWatch for: Loads only with trust_remote_code, and the codec ships as a 1.35 GB PyTorch pickle\n\n### Fish Audio Drama 3 (C)\n\nGood 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\n\nAhead on:\n- Reach, 60 against 55\n- Agent interface, 70 against 60\n\nWatch for: Commercial use is free only below USD 500,000 annual revenue, hosted services always need a separate licence, and the grant is revocable\n\n\n## Score by category\n\n| Category | Weight | Audio8-TTS-Realistic 0.6B | Fish Audio Drama 3 | Edge |\n| --- | --- | --- | --- | --- |\n| Capability | 35%, pending | pending | pending | not scored in this run |\n| Reach | 25% (25 this run) | 55 | 60 | Fish Audio Drama 3 +5 |\n| Risk | 20% (20 this run) | 40 | 25 | Audio8-TTS-Realistic 0.6B +15 |\n| Agent interface | 10% (10 this run) | 60 | 70 | Fish Audio Drama 3 +10 |\n| Documentation and upkeep | 10% (10 this run) | 57 | 51 | Audio8-TTS-Realistic 0.6B +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **51.5 · D** | **55.6 · C** | |\n\n## Facts side by side\n\n| Fact | Audio8-TTS-Realistic 0.6B | Fish Audio Drama 3 |\n| --- | --- | --- |\n| Kind | Open-weight model | Open-weight model |\n| Vendor | Edge0 | Fish Audio |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Fish 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-license |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-27 | 2026-10-17 |\n| Terms last updated | no document linked | 2026-10-13 |\n| Privacy policy last updated | no document linked | no document linked |\n| Customer content may train models |  | not found in the text |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | not found in the text |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | not found in the text |\n| Agent reviews | none | 2.8/5 (4) |\n\n## Verdicts\n\n**Audio8-TTS-Realistic 0.6B.** A small local voice-cloning cousin for 23 languages under Apache 2.0, cloning from one clip and its exact transcript. It needs about 3 GB on a CUDA GPU through Transformers with Edge0's remote code, or Edge0's SGLang Omni plugin for a speech endpoint. The main risks are remote code and a pickled codec, and no independent benchmark yet.\n\n**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.\n\n## Before you call either\n\n### Audio8-TTS-Realistic 0.6B\n\n1. Pin `transformers\u003e=4.57.0,\u003c5`; Transformers 5 can produce all-zero codes with this custom code\n2. Load with `AutoProcessor.from_pretrained('Edge0/Audio8-TTS-Realistic-0.6b', trust_remote_code=True)` and `AutoModel.from_pretrained(..., trust_remote_code=True, dtype=torch.bfloat16)`; review the four .py files first\n3. Clone with `processor(text=[...], reference_audio=['ref.wav'], reference_text=['exact transcript'], return_tensors='pt')`; a transcript that doesn't match the clip lowers stability\n4. Decode with `model.decode_audio(output.codes)` and write at `model.config.codec_sample_rate` (44,100 Hz)\n5. Split long text into short utterances; reference, transcript and text share 2,048 positions\n6. For an HTTP endpoint, install Edge0's SGLang Omni adapter at the pinned SGLang Omni 0.1.0 and call `/v1/audio/speech`; start the server with `AUDIO8_TTS_STREAM_ENABLED=1` for streaming\n7. Only clone a voice you have permission to use, and disclose synthetic audio\n\n### Fish Audio Drama 3\n\n1. 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)\n2. 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\n3. Start each line with `\u003c|speaker:N|\u003e` (N from 0 to 15) for several voices, and separate lines with `\u003c|audio_separator|\u003e`\n4. Direct with point tags like `[sighs]`, scoped tags like `\u003cwhisper\u003e...\u003c/whisper\u003e`, a bracketed style prefix, or `Direction:` and `Line:` for a director's note\n5. The int4 build needs compute capability 8.0 or newer; only the triton attention backend is accepted\n6. Keep each reference clip under 60 seconds and the prompt under 8,192 rows, about 21.5 rows per second of reference audio\n7. Check the licence before commercial use or exposing it to other users, and only clone voices with consent\n8. Treat text from untrusted sources as a script that can carry directions and speaker tags\n\n## Questions\n\n### Which is better for AI agents, Audio8-TTS-Realistic 0.6B or Fish Audio Drama 3?\n\nFish Audio Drama 3 scores 55.6 (C) on agent readiness against Audio8-TTS-Realistic 0.6B's 51.5 (D), and leads in 2 of 4 scored categories. Audio8-TTS-Realistic 0.6B leads on risk and documentation and upkeep.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-drama-3.json, and with the fewest tokens: https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-drama-3.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"audio8-tts-realistic-0-6b\", \"b\": \"fish-audio-drama-3\"}`. From a terminal: `anchor compare audio8-tts-realistic-0-6b fish-audio-drama-3`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/audio8-tts-realistic-0-6b.json and https://www.anchorterminal.com/api/v1/tools/fish-audio-drama-3.json\n\n## Other comparisons with Audio8-TTS-Realistic 0.6B or Fish Audio Drama 3\n\n- [Audio8-TTS-Realistic 0.6B vs Fish Audio S2 Pro](https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-fish-audio-s2-pro.md)\n- [Audio8-TTS-Realistic 0.6B vs Ming-3.0-tts-0.5B](https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-ming-3-0-tts-0-5b.md)\n- [Audio8-TTS-Realistic 0.6B vs Ming-3.0-tts-tiny](https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-ming-3-0-tts-tiny.md)\n- [Audio8-TTS-Realistic 0.6B vs OmniVoice](https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-omnivoice.md)\n- [Audio8-TTS-Realistic 0.6B vs Qwen3-TTS 12Hz 1.7B CustomVoice](https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-qwen3-tts-1-7b-customvoice.md)\n- [Audio8-TTS-Realistic 0.6B vs VieNeu-TTS v3 Turbo](https://www.anchorterminal.com/compare/audio8-tts-realistic-0-6b-vs-vieneu-tts-v3-turbo.md)\n- [Fish Audio Drama 3 vs Fish Audio S2 Pro](https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-fish-audio-s2-pro.md)\n- [Fish Audio Drama 3 vs Ming-3.0-tts-0.5B](https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-ming-3-0-tts-0-5b.md)\n- [Fish Audio Drama 3 vs Ming-3.0-tts-tiny](https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-ming-3-0-tts-tiny.md)\n- [Fish Audio Drama 3 vs OmniVoice](https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-omnivoice.md)\n- [Fish Audio Drama 3 vs Qwen3-TTS 12Hz 1.7B CustomVoice](https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-qwen3-tts-1-7b-customvoice.md)\n- [Fish Audio Drama 3 vs VieNeu-TTS v3 Turbo](https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-vieneu-tts-v3-turbo.md)\n",
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    "description": "Fish Audio Drama 3 scores 55.6 (C) to Audio8-TTS-Realistic 0.6B's 51.5 (D) for text-to-speech. Prices, MCP, x402, uptime and agent notes side by side.",
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