qwen3-tts-instruct-flashCompare qwen3-tts-instruct-flash API pricing, supported endpoints, capabilities and access options on Modelsell.
cl100k_baseOlder GPT-3.5 familyScores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Qwen3 Tts Instruct Flash
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Qwen3-TTS-Instruct-Flash 适合需要明确控制声音表达的配音任务。它接收待朗读文字,并通过独立的自然语言指令调整合成效果,让广告介绍、角色对白、客服安抚和故事旁白更贴合具体语境。模型支持 25 种音色的中文、英文指令调节,可描述情感、语气、节奏和声音表现。
朗读正文填写实际需要听到的台词,表演要求放入 instructions 字段。例如同一句欢迎语,可以要求轻快热情,也可以要求安静温柔;正文保持不变,便于比较表达差异。指令用中文或英文写清楚,优先给出可听出的特征,例如语速稍慢、句尾平稳、重点词加强,而不是只写“更有感觉”。
音色决定主要声音特点,指令安排本次表演。先选择支持 Instruct 的音色,再逐项调整情绪、速度或停顿,避免一次叠加互相冲突的要求。角色对白可按说话人或情绪段落拆分,分别合成后再组合,方便局部修改和试听衔接。
试音应包含正式内容中的数字、人名、短句与长句,检查发音准确性及表演是否影响清晰度。长篇制作先统一音色与角色方向,再分段微调;语音助手则先完成业务回复,再用本模型安排恰当语气。
北京地域基准价为 0.8 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。
选择 Momo 音色,正文:“你终于来了!地图就在桌上,我们得赶在天黑前出发。”
instructions:“开头带惊喜,接着稍微加快语速,表现出准备冒险的兴奋,但保持吐字清楚。”
先用一两句写清核心情绪和节奏,试听后再补充必要细节,避免互相冲突的要求。
检查是否把要求拼进了正文。待朗读台词与 instructions 分开传入,指令使用中文或英文。
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 qwen3-tts-instruct-flash API pricing, supported endpoints, capabilities and access options on Modelsell.
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