Model overview
文本转语音模型TTS，支持设置音色，标准 tts-1 模型提供最低的延迟，但质量低于 tts-1-hd 模型。 点击查看接入文档
The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.
Key features
- 支持自定义音色设置
- 提供低延迟的文本转语音服务
- 属于标准质量TTS模型，适用于对实时性要求较高的场景
Limitations & considerations
- 语音合成质量低于 tts-1-hd 模型
- 未说明支持的语言种类和方言覆盖范围
- 未说明是否支持情感、语速、语调等细粒度控制
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| Apilio · AZ-优质 ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:16 |
| Apilio · default ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:16 |
| Apilio · openai官-优质 ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:16 |
| Apilio · origin ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:16 |
| Apilio · ssvip ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:16 |
| Apilio · svip ↗ | Not verified | Not verified | 渠道倍率待核验 | 2026/11/2 06:25:16 |
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
tts-1-1106 和 tts-1-hd 的主要区别是什么？
tts-1-1106 是标准质量TTS模型，主打低延迟；tts-1-hd 则提供更高语音质量，但延迟更高。
该模型的延迟表现如何？
tts-1-1106 是标准 tts-1 模型，明确设计为提供最低延迟。
在哪里可以找到接入文档？
接入文档可通过链接 https://api.apilio.ai/cn/models/tts-1-1106 查看。
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：来源未披露，须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。