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Choose a model for speech-input-to-speech-output use cases, such as voice conversation, speech translation, and simultaneous interpretation.

This page covers the speech-to-speech use case. For broader multimodal capabilities—visual understanding, audio and video analysis, or content moderation—see the Omni-modal documentation.

S2S (speech-to-speech) vs. pipeline

There are two approaches to building voice applications:

S2SPipeline (ASR + LLM + TTS)
S2SPipeline (ASR + LLM + TTS)
LatencyLow -- single-model stream processingHigher -- three-stage serial processing
Audio understandingEnd-to-end -- perceives tone and emotion and responds accordinglyConverts to text before processing, losing subtle audio cues
Voice customizationSelection of preset voices via a system promptVoice cloning and voice design (CosyVoice)
  • Use S2S for low latency, audio-aware responses, and interactive conversation.

  • Use a pipeline when you need to customize voices or select best-in-class ASR, LLM, and TTS models for each stage.

This page focuses on the S2S single-model approach (the Omni and Livetranslate series). If you choose the pipeline approach, select each component from the corresponding documentation:

  • ASR (speech recognition): Speech-to-text

  • LLM (large language model): Text generation

  • TTS (text-to-speech): Speech synthesis

Real-time or file mode?

  • Real-time (WebSocket): For real-time voice interaction such as voice assistants, call centers, and simultaneous interpretation. Supports streaming audio input and speech output. Model names contain -realtime.

  • File mode (HTTP): Trades higher latency for better quality, ideal for video dubbing, podcast translation, and offline content processing. File mode also supports companion capabilities such as function calling, web search, thinking mode, and video context. For details, see Companion capabilities of the S2S single-model approach below.

Choose a model by use case (S2S single-model approach)

The use cases below all assume the S2S single-model approach. For the pipeline approach, choose components from the ASR, LLM, and TTS guides linked above.

Use caseRecommended modelAPI
Use caseRecommended modelAPI
Voice assistants and customer-service conversationsqwen3.5-omni-plus-realtimeWebSocket
Cost-sensitive conversationsqwen3.5-omni-flash-realtimeWebSocket
Simultaneous interpretation and live translationqwen3.5-livetranslate-flash-realtimeWebSocket
Video dubbing and podcast translationqwen3-livetranslate-flashHTTP
Video analysis and batch labeling (requires thinking mode)qwen3-omni-flashHTTP

Companion capabilities of the S2S single-model approach

Under the S2S single-model approach, the Qwen3.5-Omni and Qwen3-Omni models provide the following capabilities directly. With a pipeline approach, equivalent functionality must come from individual components (typically the LLM).

Function calling

Allows the model to perform actions—such as querying a knowledge base, checking a schedule, or triggering a workflow—based on what it hears and sees. Use Qwen3.5-Omni (in WebSocket or HTTP mode) or Qwen3-Omni (in HTTP mode).

Not supported by real-time models or the Livetranslate model.

Allows the model to retrieve real-time information to answer questions about current events, stock prices, weather, and similar topics. Use Qwen3.5-Omni in WebSocket or HTTP mode (both Plus and Flash series). The model decides on its own whether to search.

Not supported by Qwen3-Omni-Flash or the Livetranslate model.

Thinking mode

When answer quality outweighs latency, use Qwen3-Omni (HTTP mode). The model reasons step by step before replying, making it ideal for video analysis and batch labeling.

Voice generation is not supported in thinking mode.

Speech translation

The following model series support speech translation:

  • Qwen3.5-Livetranslate: Translates between 60 languages, with 29 producing both audio and text output and 31 producing text only. Covers major languages such as Chinese, English, French, German, Russian, Japanese, Korean, Spanish, Portuguese, and Arabic.

  • Qwen3-Livetranslate: Supports 18 languages and 5 Chinese dialects with a latency of approximately 3 seconds. In file mode, it uses video input to deliver more accurate, context-aware translations. For 7 of these languages, the output is text-only (no speech).

  • Qwen3.5-Omni: Supports 29 output languages and 8 Chinese dialects. Offers strong audio and video understanding and web search. Use a system prompt to inject terminology and domain context. Supports both real-time and file modes.

  • Qwen3-Omni-Flash: Supports 11 output languages and 8 Chinese dialects. Use a system prompt to inject terminology and domain context. Supports both real-time and file modes, at lower cost.

Note

For a quick start with translation applications, use the Livetranslate series. For the highest quality and broadest language coverage, use Qwen3.5-Omni. For cost-sensitive scenarios, use Qwen3-Omni-Flash.

Supported languages

LanguageQwen3.5-LivetranslateQwen3-LivetranslateQwen3.5-OmniQwen3-Omni-Flash
EnglishSupportedSupportedSupportedSupported
Chinese (Mandarin)SupportedSupportedSupportedSupported
CantoneseText-onlySupportedSupportedSupported
Sichuan dialectSupportedSupportedSupportedSupported
ShanghaineseSupportedSupportedSupportedSupported
Beijing dialectSupportedSupportedSupportedSupported
Tianjin dialectSupportedSupportedSupportedSupported
Nanjing dialect----SupportedSupported
Shaanxi dialect----SupportedSupported
Minnan dialect----SupportedSupported
FrenchSupportedSupportedSupportedSupported
GermanSupportedSupportedSupportedSupported
RussianSupportedSupportedSupportedSupported
ItalianSupportedSupportedSupportedSupported
SpanishSupportedSupportedSupportedSupported
PortugueseSupportedSupportedSupportedSupported
JapaneseSupportedSupportedSupportedSupported
KoreanSupportedSupportedSupportedSupported
ThaiSupportedText-onlySupportedSupported
IndonesianSupportedText-onlySupported--
VietnameseSupportedText-onlySupported--
ArabicSupportedText-onlySupported--
HindiSupportedText-onlySupported--
TurkishSupportedText-onlySupported--
FinnishSupported--Supported--
PolishSupported--Supported--
DutchSupported--Supported--
CzechSupported--Supported--
UrduSupported--Supported--
TagalogSupported--Supported--
SwedishSupported--Supported--
DanishSupported--Supported--
HebrewSupported--Supported--
IcelandicSupported--Supported--
MalaySupported--Supported--
NorwegianSupported--Supported--
PersianSupported--Supported--
GreekText-onlyText-only----
AfrikaansText-only------
AsturianText-only------
BelarusianText-only------
BulgarianText-only------
BengaliText-only------
BosnianText-only------
CatalanText-only------
CebuanoText-only------
EstonianText-only------
GalicianText-only------
GujaratiText-only------
CroatianText-only------
HungarianText-only------
JavaneseText-only------
KazakhText-only------
KannadaText-only------
KyrgyzText-only------
LatvianText-only------
MacedonianText-only------
MalayalamText-only------
MarathiText-only------
PunjabiText-only------
RomanianText-only------
SlovakText-only------
SlovenianText-only------
SwahiliText-only------
TajikText-only------
AzerbaijaniText-only------
UkrainianText-only------

"Supported" means the model produces both speech and text output. "Text-only" means the model produces text output but no speech.

Qwen3.5-Omni supports 113 input languages and dialects.

Qwen3.5-Livetranslate supports 60 languages (29 with audio and text, 31 text only).

The legacy qwen-omni-turbo model supports only Chinese and English.

The table below lists the common entry-point model in each series. To pin a specific dated version (for version regression or stability), see All models below.

ModelAPIInputFunction callingWeb searchThinking modeTranslation
ModelAPIInputFunction callingWeb searchThinking modeTranslation
qwen3.5-omni-plus-realtimeWebSockettext, audio, imageSupportedSupported--29 languages
qwen3.5-omni-plusHTTPtext, audio, image, videoSupportedSupported--29 languages
qwen3.5-omni-flash-realtimeWebSockettext, audio, imageSupportedSupported--29 languages
qwen3.5-omni-flashHTTPtext, audio, image, videoSupportedSupported--29 languages
qwen3-omni-flash-realtimeWebSockettext, audio, image, video------11 languages
qwen3-omni-flashHTTPtext, audio, image, videoSupported--Supported11 languages
qwen3.5-livetranslate-flash-realtimeWebSocketaudio, image------60 languages
qwen3-livetranslate-flashHTTPaudio, video------18 languages

All models

Qwen3.5-Omni

ModelAPIInputFunction callingWeb searchThinking mode
ModelAPIInputFunction callingWeb searchThinking mode
qwen3.5-omni-plus-realtimeWebSocketText, audio, image, videoSupportedSupported--
qwen3.5-omni-plus-realtime-2026-03-15WebSocketText, audio, image, videoSupportedSupported--
qwen3.5-omni-plusHTTPText, audio, image, videoSupportedSupported--
qwen3.5-omni-plus-2026-03-15HTTPText, audio, image, videoSupportedSupported--
qwen3.5-omni-flash-realtimeWebSocketText, audio, image, videoSupportedSupported--
qwen3.5-omni-flash-realtime-2026-03-15WebSocketText, audio, image, videoSupportedSupported--
qwen3.5-omni-flashHTTPText, audio, image, videoSupportedSupported--
qwen3.5-omni-flash-2026-03-15HTTPText, audio, image, videoSupportedSupported--

Qwen3-Omni

ModelAPIInputFunction callingWeb searchThinking mode
ModelAPIInputFunction callingWeb searchThinking mode
qwen3-omni-flash-realtimeWebSocketText, audio, image, video------
qwen3-omni-flash-realtime-2025-12-01WebSocketText, audio, image, video------
qwen3-omni-flash-realtime-2025-09-15WebSocketText, audio, image, video------
qwen3-omni-flashHTTPText, audio, image, videoSupported--Supported
qwen3-omni-flash-2025-12-01HTTPText, audio, image, videoSupported--Supported
qwen3-omni-flash-2025-09-15HTTPText, audio, image, videoSupported--Supported

Qwen3.5-Livetranslate

ModelAPIInputLanguages
ModelAPIInputLanguages
qwen3.5-livetranslate-flash-realtimeWebSocketAudio60
qwen3.5-livetranslate-flash-realtime-2026-05-19WebSocketAudio60

Qwen3-Livetranslate

ModelAPIInputLanguages
ModelAPIInputLanguages
qwen3-livetranslate-flash-realtimeWebSocketAudio18
qwen3-livetranslate-flash-realtime-2025-09-22WebSocketAudio18
qwen3-livetranslate-flashHTTPAudio, video18
qwen3-livetranslate-flash-2025-12-01HTTPAudio, video18

Legacy models

These models are no longer updated. For new projects, use Qwen3.5-Omni.

ModelInputAPI
ModelInputAPI
qwen2.5-omni-7bText, audio, image, videoHTTP
qwen-omni-turboText, audio, image, videoHTTP
qwen-omni-turbo-latestText, audio, image, videoHTTP
qwen-omni-turbo-2025-03-26Text, audio, image, videoHTTP
qwen-omni-turbo-realtimeText, audioWebSocket
qwen-omni-turbo-realtime-latestText, audioWebSocket
qwen-omni-turbo-realtime-2025-05-08Text, audioWebSocket

What's next

After you choose a model, see the corresponding API documentation:

  • Qwen3.5-Omni and Qwen3-Omni (WebSocket, real-time): Real-time Qwen-Omni-Realtime

  • Qwen3.5-Omni and Qwen3-Omni (HTTP, file): Non-real-time Qwen-Omni

  • Qwen3.5-Livetranslate (WebSocket, real-time): Real-time speech and audio-video translation with Qwen

  • Qwen3-Livetranslate (HTTP, file): Audio and video file translation with Qwen

Previous: Custom hotwordsNext: Omni-modal

Is this page helpful?

S2S (speech-to-speech) vs. pipeline

Real-time or file mode?

Choose a model by use case (S2S single-model approach)

Companion capabilities of the S2S single-model approach

Function calling

Web search

Thinking mode

Speech translation

Recommended models

All models

Qwen3.5-Omni

Qwen3-Omni

Qwen3.5-Livetranslate

Qwen3-Livetranslate

Legacy models

What's next

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