cosyvoice-v1Compare cosyvoice-v1 API pricing, supported endpoints, capabilities and access options on Modelsell.
BPE (vendor-specific)Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Cosyvoice V1
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CosyVoice-v1 是结合文本理解与语音生成的语音合成模型,可把文章、讲解稿和应用提示转换成音频。它适合阅读辅助、知识内容朗读、课程片段和服务播报,也可配合音色注册服务使用定制声音。输入应是已经确定的朗读正文,内容问答和事实整理需要在合成前完成。
文章中的小标题、括号说明和表格不宜原样连续读出。可以先把标题改为自然过渡,把表格改写成几句有顺序的比较,把网址、代码和内部字段删改为必要说明。段落之间保留清楚的语义停顿,让用户在没有屏幕的情况下也能跟上内容。
选择适配 cosyvoice-v1 的音色后,先用实际文稿中的开头、长句和专有名词试听,再决定分段方式。使用定制音色时,应保存正确的 voice ID,并确认它适配目标模型。长篇按自然段或小节合成,检查片段拼接后是否出现不自然停顿,避免在完整词语或同一条指令中间截断。
模型支持文本到语音的实时流式合成。应用可逐段接收音频并播放,也需要自行管理播放顺序、缓冲和停止操作。制作离线成品时,应保存音频文件,方便后续剪辑、分发和重复播放。
北京地域基准价为 2 元/万计费字符,输出音频不另收费。汉字通常计 2 个字符,SSML 标签不计入,按返回字符数结算。美元基准按 1 美元 = 6.8 元换算,最终费用应用账户分组倍率。
选定适配本模型的音色,输入整理好的正文:“接下来介绍三种保存食物的方法。第一种是冷藏,适合短期储存。第二种是冷冻,使用前需要预留解冻时间。最后一种是干燥保存。”
先试听列举顺序与句间停顿,再按小节处理全文。
先把行列关系改写成完整句子,明确比较对象与结论,避免只读出一串失去上下文的数据。
应先校对正文,再进行合成。模型生成声音不代表文章中的数字、事实或术语已经审核。
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Alibaba | Unlimited | Unlimited | Unlimited |
No restriction
Compare cosyvoice-v1 API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to cosyvoice-v1, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.
