# Ming-3.0-tts-0.5B Benchmark Scores & Performance

> Ming-3.0-tts-0.5B has inclusionAI Ming-3.0 results results. Voice evidence is display-only and does not produce a text-model score.

Canonical page: https://benchlm.ai/models/ming-3-0-tts-0-5b

Last updated: October 20, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | InclusionAI |
| Source Type | Open Weight |
| Reasoning Type | Non-Reasoning |
| Context Window | N/A |
| Official model card | [InclusionAI model documentation](https://huggingface.co/inclusionAI/Ming-3.0-tts-0.5B) |
| Overall Score | Not scored (voice evidence only) |
| Overall Rank | Unranked |

## Family & Coverage

- Family: Ming-3.0-tts-0.5B
- Variant: base
- Benchmarks covered: 0 of 670
- Coverage note: Speech and voice results appear below; no weighted text-model benchmark rows are stored.

## Speech and voice evidence

[Ming-3.0 speech evaluation](/voice-benchmarks/ming-3-0-speech-evaluation)

All results are inclusionAI-run or developer-reported by inclusionAI. Text-to-speech figures use a unified ASR-based WER or CER protocol over each open model at its recommended settings; speaker similarity (SIM) trails content accuracy, and Korean CER for Ming-3.0-tts-tiny (6.000%) is the clearest multilingual gap. The audio and ASR figures are read from images on the model cards; results marked with an asterisk there are self-evaluated. Competitor rows are not carried here. These results do not enter text-model or voice-agent rankings.

| Metric | Result |
| --- | --- |
| Seed-TTS testset Chinese WER | 0.800% |
| Seed-TTS testset English WER | 1.584% |
| Basic attribute control average | 93.30% |
| InstructTTSEval-ZH voice design average | 72.29% |
| CV3 emotion control average | 72.33% |

inclusionAI model cards retrieved October 21, 2026. Provider-reported; error rates are better lower. Voice results are display-only.

- [Evaluation source](https://huggingface.co/inclusionAI/Ming-3.0-tts-tiny)

MIT-licensed weights on Hugging Face and ModelScope, first uploaded September 22, 2026 and refreshed October 21, 2026. The checkpoint stores 1.48B parameters including the diffusion head, audio tokenizer and speaker encoder. It speaks Chinese, English, German, Spanish, French, Korean and Japanese, supports Sichuanese and Cantonese, and emits 44.1 kHz audio. The card states no context window.

## Other InclusionAI Models

- [Ling 3.1 Flash](/models/ling-3-1-flash) - Score: 68.05
- [Ling 3.0 Flash VL](/models/ling-3-0-flash-vl) - Score: 46.79
- [Ling 3.0 Flash](/models/ling-3-0-flash) - Score: 45.06
- [Ling 2.6 Flash](/models/ling-2-6-flash) - Score: 32.43
- [Ling 3.0 Flash Sante](/models/ling-3-0-flash-sante) - Score: not computed
- [Ling 3.0 Flash FP8](/models/ling-3-0-flash-fp8) - Score: not computed
- [Ling 3.0 Tiny](/models/ling-3-0-tiny) - Score: not computed
- [LLaDA2.2-flash](/models/llada2-2-flash) - Score: not computed
- [LLaDA2.2-mini](/models/llada2-2-mini) - Score: not computed
- [Ling 3.0 Flash Fin](/models/ling-3-0-flash-fin) - Score: not computed
- [Ming-3.0-asr-tiny](/models/ming-3-0-asr-tiny) - Score: not computed
- [Ming-3.0-audio-flash](/models/ming-3-0-audio-flash) - Score: not computed
- [Ming-3.0-audio-tiny](/models/ming-3-0-audio-tiny) - Score: not computed
- [Ming-3.0-tts-tiny](/models/ming-3-0-tts-tiny) - Score: not computed