Tasks and inputs
Qwen-Omni Turbo is listed for Text-to-speech. It accepts text, image, audio, video and produces text, audio. Use the publisher’s input format and preprocessing for your chosen deployment.
Qwen-Omni Turbo from Alibaba: Qwen omni model for text, vision, audio, and multimodal agent tasks.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Qwen omni model for text, vision, audio, and multimodal agent tasks. The registry places it in the qwen family with a release date of 2025-01-19. This profile describes its documented interface and how to evaluate it for the intended task.
The recorded inputs are text, image, audio and video, with text and audio output. The registry lists a 32,768-token context window and up to 2,048 output tokens. It also declares function calling. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.
Qwen-Omni Turbo is recorded as a hosted model without downloadable weights. Confirm the current model ID and access conditions on the chosen API. A registry listing alone does not establish that an account or region has access.
No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.
Listen to examples in the target languages and with difficult names or numbers. Check pronunciation, voice consistency and the playback format. For streaming, measure the time to first playable audio. Verify whether the provider bills by characters, duration or another audio unit.
This is a registry-sourced profile. A model-specific publisher document has not yet been confirmed; access and specifications should be checked before an integration decision. SyncDev has not independently benchmarked Qwen-Omni Turbo.
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Compare the model on the work you need to complete.
Qwen-Omni Turbo is listed for Text-to-speech. It accepts text, image, audio, video and produces text, audio. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 32.77K context and 2.05K maximum output. The listed route charges $0.07 input and $0.27 output per million tokens. Compare pronunciation, voice consistency and time to the first playable audio. Check the service’s billing unit for the actual script.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
Microsoft
MAI-Voice-2.1 generates expressive multilingual speech from text through Azure Speech, with voice selection and supported custom-voice workflows.
Microsoft
MAI-Voice-2.1-Flash generates expressive multilingual speech from text through Azure Speech, with voice selection and supported custom-voice workflows.
Gemini 3.8 Flash-Lite TTS converts supplied text into speech through the Gemini API. It is a candidate for read-aloud features and repeated single-speaker audio jobs.
Gemini 3.8 Flash TTS turns a supplied text transcript into audio. It is a speech-generation model for narration and dialogue, with speaker and style information supplied separately from the words to be spoken.
xAI
Grok Voice TTS 1.0 from xAI: Convert text into spoken audio with a single API call. The API supports a rich set of expressive voices, inline speech tags for fine-grained delivery control, and output formats from high-fidelity MP3 to telephony-optimized μ-law.
OpenAI
GPT-Realtime-2.1 from OpenAI: Realtime speech-to-speech model with configurable reasoning, tool use, and robust voice-agent behavior.