Head to head · Text-to-speech · October 2026 research run
Fish Audio S2 Pro vs Ming-3.0-tts-0.5B
Ming-3.0-tts-0.5B scores 57.8 (C) on agent readiness against Fish Audio S2 Pro's 52.5 (D), and leads in 3 of 5 scored categories. Fish Audio S2 Pro leads on agent interface and documentation and upkeep. 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
Which one, for what
Best 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 55
- 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
Best for Offline Chinese and English narration, cloning and voice design on a small CUDA GPU, under a plain licence
Ahead on
- Capability, 66 against 61
- Reach, 55 against 50
- Risk, 55 against 30
Also in its favour
- Rated higher by the reviewer agents, 2.8 against 2.3 out of 5
Watch for
No standard runtime runs it, only inclusionAI's GitHub scripts (mlx-audio and vLLM-Omni aside)
Score by category
| Category | Weight this run | Fish Audio S2 Pro | Ming-3.0-tts-0.5B | Edge |
|---|---|---|---|---|
| Capability | 35%35 | 61 | 66 | Ming-3.0-tts-0.5B +5 |
| Reach | 25%25 | 50 | 55 | Ming-3.0-tts-0.5B +5 |
| Risk | 20%20 | 30 | 55 | Ming-3.0-tts-0.5B +25 |
| Agent interface | 10%10 | 70 | 55 | Fish Audio S2 Pro +15 |
| Documentation and upkeep | 10%10 | 56 | 44 | Fish Audio S2 Pro +12 |
| Negative events | ≤15 | 0 | 0 | |
| Total | D 52.5/100 | C 57.8/100 |
Facts side by side
| Fact | Fish Audio S2 Pro | Ming-3.0-tts-0.5B |
|---|---|---|
| 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 | 2026-10-19 |
| 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) | 2.8/5 (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-0.5B
A small MIT-licensed speech cousin for offline narration, voice cloning and voice design in seven languages and two dialects. It needs about 4 GB but runs only through inclusionAI's own Python scripts on CUDA, with no streaming. The main risk is a loading path that runs the publisher's code, with no safety evaluation or security contact.
Before you call either
Fish Audio S2 Pro
- Install fish-speech from GitHub (
uv sync --python 3.12 --extra cu129), thenhf download fishaudio/s2-pro --local-dir checkpoints/s2-pro - 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; checkGET /v1/health - 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 passreference_id - Plan for 24 GB of GPU memory as Fish Audio's guide says, even though the files are 11 GB; add
--compilefor speed and--halfon GPUs without bfloat16 - 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) - Commercial use needs a licence from Fish Audio; for that, call Fish Audio's API (
s2-proors2.1-pro) instead
Ming-3.0-tts-0.5B
- Clone github.com/inclusionAI/Ming-3.0-tts and
pip install -r requirements.txt(torch 2.6.0, transformers 4.46.3), since the Hugging Face repository alone won't load - Start with
python infer.py --model_path inclusionAI/Ming-3.0-tts-0.5B --task IP --text "The garden will remain open until sunset." --ip US_James --use_zero_spk_emb --no_text_normalization --output output/tts.wav - Pass
--no_text_normalizationunless pynini 2.1.6 is installed, since text normalisation imports it - Pick one task per call and pass only that task's controls, since controls from another task are rejected
- Run
python tools/preflight.py --model_path <dir>to check the checkpoint before the first call - inclusionAI tested only NVIDIA H800 and H20 with CUDA 12.4, and no doc covers PyTorch on ROCm, so the AMD reference machine is untested
- On Apple silicon, mlx-audio 0.6.1 or later loads mlx-community's conversion, which isn't inclusionAI's
- Clone only voices you have consent for and label the audio as synthetic, as the card asks
Questions
Which is better for AI agents, Fish Audio S2 Pro or Ming-3.0-tts-0.5B?
Ming-3.0-tts-0.5B scores 57.8 (C) on agent readiness against Fish Audio S2 Pro's 52.5 (D), and leads in 3 of 5 scored categories. Fish Audio S2 Pro leads on agent interface and documentation and upkeep.
Other comparisons with Fish Audio S2 Pro or Ming-3.0-tts-0.5B
- Fish Audio Drama 3 vs Fish Audio S2 Pro
- Fish Audio Drama 3 vs Ming-3.0-tts-0.5B
- Fish Audio S2 Pro vs Ming-3.0-tts-tiny
- Fish Audio S2 Pro vs OmniVoice
- Fish Audio S2 Pro vs Qwen3-TTS 12Hz 1.7B CustomVoice
- Fish Audio S2 Pro vs VieNeu-TTS v3 Turbo
- Ming-3.0-tts-0.5B vs Ming-3.0-tts-tiny
- Ming-3.0-tts-0.5B vs OmniVoice
- Ming-3.0-tts-0.5B vs Qwen3-TTS 12Hz 1.7B CustomVoice
- Ming-3.0-tts-0.5B vs VieNeu-TTS v3 Turbo
Machine-readable
- This page as Markdown
/compare/fish-audio-s2-pro-vs-ming-3-0-tts-0-5b.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/fish-audio-s2-pro.json·/api/v1/tools/ming-3-0-tts-0-5b.json - From a terminal
anchor compare fish-audio-s2-pro ming-3-0-tts-0-5b(the CLI) - Over MCP
compare_tools {"a": "fish-audio-s2-pro", "b": "ming-3-0-tts-0-5b"}at/mcp, no key