# Fish Audio S2 Pro vs Ming-3.0-tts-tiny

> Fish Audio S2 Pro and Ming-3.0-tts-tiny score within a point of each other for text-to-speech, 52.5 and 52.2 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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Fish Audio S2 Pro and Ming-3.0-tts-tiny score within a point of each other on agent readiness, 52.5 (D) and 52.2 (D). Ming-3.0-tts-tiny leads on risk. Both do text-to-speech.

- Fish Audio S2 Pro: grade D, 52.5/100, rank #89 of 107 open-weight models. Markdown https://www.anchorterminal.com/tools/fish-audio-s2-pro.md · JSON https://www.anchorterminal.com/api/v1/tools/fish-audio-s2-pro.json
- Ming-3.0-tts-tiny: grade D, 52.2/100, rank #93 of 107 open-weight models. Markdown https://www.anchorterminal.com/tools/ming-3-0-tts-tiny.md · JSON https://www.anchorterminal.com/api/v1/tools/ming-3-0-tts-tiny.json
- Best text-to-speech APIs for AI agents: https://www.anchorterminal.com/best/text-to-speech/index.md
- All 87 tts comparisons: https://www.anchorterminal.com/compare/text-to-speech/index.md
- Best voice cloning and custom voice APIs for AI agents: https://www.anchorterminal.com/best/voice-cloning/index.md
- All 87 cloning comparisons: https://www.anchorterminal.com/compare/voice-cloning/index.md

## Which one, for what

### Fish Audio S2 Pro (D)

Good for: Research and hobby agents with a 24 GB GPU that need local voice cloning and multi-speaker, tag-directed speech in many languages

Ahead on:
- Agent interface, 70 against 60
- Documentation and upkeep, 56 against 44

Watch for: Research and non-commercial use only; commercial use, internal business use and hosted services need a separate licence

### Ming-3.0-tts-tiny (D)

Good for: Agents on a 24 GB NVIDIA GPU that need Chinese or English narration, voice cloning or multi-speaker audio under MIT

Ahead on:
- Risk, 55 against 30

Watch for: No runtime among llama.cpp, Ollama, vLLM, SGLang, LM Studio or Transformers runs it from its own code


## Score by category

| Category | Weight | Fish Audio S2 Pro | Ming-3.0-tts-tiny | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35%, pending | pending | pending | not scored in this run |
| Reach | 25% (25 this run) | 50 | 50 | even |
| Risk | 20% (20 this run) | 30 | 55 | Ming-3.0-tts-tiny +25 |
| Agent interface | 10% (10 this run) | 70 | 60 | Fish Audio S2 Pro +10 |
| Documentation and upkeep | 10% (10 this run) | 56 | 44 | Fish Audio S2 Pro +12 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **52.5 · D** | **52.2 · D** | |

## Facts side by side

| Fact | Fish Audio S2 Pro | Ming-3.0-tts-tiny |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | Fish Audio | inclusionAI (Ant Group) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Fish Audio Research License (weights; research and non-commercial use only); the fish-speech code that runs it is under the Fish Audio Community License 1.0 since 13 October 2026 | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-03-11 | 2026-10-20 |
| Terms last updated |  | no document linked |
| Privacy policy last updated | no document linked | no 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 reviews | 2.3/5 (4) | 2.5/5 (4) |

## Verdicts

**Fish Audio S2 Pro.** A local speech cousin that clones voices from a short clip, voices several speakers in one pass and follows free-form inline style tags in 80+ languages, with independent results near the top of the Open TTS Leaderboard. It needs Fish Audio's own code and about a 24 GB GPU. The main limit is the licence, research and non-commercial use only.

**Ming-3.0-tts-tiny.** A text-to-speech cousin for voice cloning, voice design and multi-speaker podcast audio in seven languages, under MIT. It needs the publisher's own code or SGLang-Omni and about 22 GB of GPU memory, with CUDA 11.8 pinned. The main risks are that loading runs repository code, no safety work is published and it can clone a voice from a short clip.

## Before you call either

### Fish Audio S2 Pro

1. Install fish-speech from GitHub (`uv sync --python 3.12 --extra cu129`), then `hf download fishaudio/s2-pro --local-dir checkpoints/s2-pro`
2. Start the server with `python tools/api_server.py --listen 127.0.0.1:8080 --llama-checkpoint-path checkpoints/s2-pro --decoder-checkpoint-path checkpoints/s2-pro/codec.pth --decoder-config-name modded_dac_vq`; check `GET /v1/health`
3. POST /v1/tts takes msgpack, not JSON; use tools/api_client.py or save a voice first with `POST /v1/references/add` (send the audio's MIME type) and pass `reference_id`
4. Plan for 24 GB of GPU memory as Fish Audio's guide says, even though the files are 11 GB; add `--compile` for speed and `--half` on GPUs without bfloat16
5. Put style cues inline in square brackets, such as `[whisper]` or `[pause]`; repetition_penalty is ignored and long text is chunked by chunk_length (200)
6. Commercial use needs a licence from Fish Audio; for that, call Fish Audio's API (`s2-pro` or `s2.1-pro`) instead

### Ming-3.0-tts-tiny

1. Install from the GitHub repository, `git clone https://github.com/inclusionAI/Ming-3.0-tts.git && cd Ming-3.0-tts && pip install -r requirements-tiny.txt`, in its own Python 3.10.15 environment, since the 0.5B model pins different versions
2. Quick start is `bash examples/one_click/run_seed.sh`, which clones from the bundled reference clip
3. To serve, run `sgl-omni serve --model-path inclusionAI/Ming-3.0-tts-tiny` from SGLang-Omni's main branch and POST to /v1/audio/speech with input, response_format and, for cloning, ref_audio plus ref_text
4. Pick one task per call (seed, multilingual, paralinguistic, podcast, basic, emotion, dialect, freeform, voice_design, ip) and pass only the inputs that task accepts
5. Expect one complete audio body, since there is no streaming, and no timestamps
6. Pass temperature yourself, since the reference generate() uses 0 and SGLang-Omni takes 1.5 from the config
7. Run `python tools/preflight_tiny.py --model_path <dir>` on the downloaded checkpoint before first use
8. Label output as synthetic speech where it could pass for a real recording, as the card asks

## Questions

### Which is better for AI agents, Fish Audio S2 Pro or Ming-3.0-tts-tiny?

Fish Audio S2 Pro and Ming-3.0-tts-tiny score within a point of each other on agent readiness, 52.5 (D) and 52.2 (D). Ming-3.0-tts-tiny leads on risk.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/fish-audio-s2-pro-vs-ming-3-0-tts-tiny.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fish-audio-s2-pro-vs-ming-3-0-tts-tiny.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "fish-audio-s2-pro", "b": "ming-3-0-tts-tiny"}`. From a terminal: `anchor compare fish-audio-s2-pro ming-3-0-tts-tiny`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fish-audio-s2-pro.json and https://www.anchorterminal.com/api/v1/tools/ming-3-0-tts-tiny.json

## Other comparisons with Fish Audio S2 Pro or Ming-3.0-tts-tiny

- [Fish Audio Drama 3 vs Fish Audio S2 Pro](https://www.anchorterminal.com/compare/fish-audio-drama-3-vs-fish-audio-s2-pro.md)
- [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)
- [Fish Audio S2 Pro vs Ming-3.0-tts-0.5B](https://www.anchorterminal.com/compare/fish-audio-s2-pro-vs-ming-3-0-tts-0-5b.md)
- [Fish Audio S2 Pro vs OmniVoice](https://www.anchorterminal.com/compare/fish-audio-s2-pro-vs-omnivoice.md)
- [Fish Audio S2 Pro vs Qwen3-TTS 12Hz 1.7B CustomVoice](https://www.anchorterminal.com/compare/fish-audio-s2-pro-vs-qwen3-tts-1-7b-customvoice.md)
- [Fish Audio S2 Pro vs VieNeu-TTS v3 Turbo](https://www.anchorterminal.com/compare/fish-audio-s2-pro-vs-vieneu-tts-v3-turbo.md)
- [Ming-3.0-tts-0.5B vs Ming-3.0-tts-tiny](https://www.anchorterminal.com/compare/ming-3-0-tts-0-5b-vs-ming-3-0-tts-tiny.md)
- [Ming-3.0-tts-tiny vs OmniVoice](https://www.anchorterminal.com/compare/ming-3-0-tts-tiny-vs-omnivoice.md)
- [Ming-3.0-tts-tiny vs Qwen3-TTS 12Hz 1.7B CustomVoice](https://www.anchorterminal.com/compare/ming-3-0-tts-tiny-vs-qwen3-tts-1-7b-customvoice.md)
- [Ming-3.0-tts-tiny vs VieNeu-TTS v3 Turbo](https://www.anchorterminal.com/compare/ming-3-0-tts-tiny-vs-vieneu-tts-v3-turbo.md)

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