Qwen-Audio-3.1-Realtime-Plus

SyncDev model directory · Profile updated Oct 13, 2026

Compare with another model

Qwen-Audio-3.1-Realtime-Plus supports duplex speech conversation, voice cloning, tools and a 262K-token context through its realtime interface.

Key specifications

Context window
262.14K
License
Proprietary

Inputs and outputs

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

  • Audio input
  • Text input

Produces

  • Audio output
  • Text output

Capabilities

Function callingAudioStreaming

What is Qwen-Audio-3.1-Realtime-Plus?

Duplex voice interaction

This realtime Qwen-Audio revision was released on 20 September 2026. It supports spoken conversation, voice cloning, function calling and web search with a 262,144-token context window. The protocol is compatible with the earlier 3.0 Plus revision, while the voice selection includes eight additional system voices.

Test an actual conversation

A live voice workflow needs to coordinate microphone input, generated speech, interruptions and tool results. Verify that a response stops when a user interrupts and that a tool result is represented accurately in the spoken answer. A transcription-only test does not establish that a duplex conversation will feel responsive.

Access and cost

Use the exact qwen-audio-3.1-realtime-plus model ID on the supported realtime service. Account access, quotas and billing depend on the selected deployment. This profile does not infer an audio price from a text-model route or treat a context limit as an audio duration allowance.

Evaluating Qwen-Audio-3.1-Realtime-Plus

Build a small evaluation set from the work your application actually handles. Include incomplete information, contradictory inputs and a case that should stop for clarification. Define an acceptable deliverable before running the model, then inspect failures as carefully as successful examples. Keep input material, tools and effort settings consistent when comparing candidates.

Record the exact model identifier, deployment route and request settings with each result. Count complete runs, including rejected outputs, retries and tool calls. When the workflow creates files or code, open the files or execute the existing checks before accepting the result. A plausible first response can hide an incomplete final deliverable.

The specifications describe supported interfaces and request capacity. They do not establish a measured quality ranking or a latency guarantee for your account. SyncDev has not independently benchmarked this model. Choose a deployment after testing the languages, input formats and operating conditions that matter to your users.

Explore alibaba models, browse model tasks, or compare two models with the same acceptance criteria.

How to evaluate Qwen-Audio-3.1-Realtime-Plus

Compare the model on the work you need to complete.

Tasks and inputs

Qwen-Audio-3.1-Realtime-Plus is listed for Audio-text-to-text, Audio-to-audio. It accepts audio, text and produces audio, text. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Documented limits: 262.14K context. Compare pronunciation, voice consistency and time to the first playable audio. Check the service’s billing unit for the actual script.

Choosing a deployment

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.

Frequently asked questions

Qwen-Audio-3.1-Realtime-Plus supports duplex speech conversation, voice cloning, tools and a 262K-token context through its realtime interface.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

Google

Gemini 3.8 Live

Gemini 3.8 Live is Google's model for interactive audio conversations with text, image, audio and video input. Its Live API response modality is audio; text is available through transcription.

131.07K context

Aratako

Aratako/MioCodec-25Hz-24kHz

Aratako/MioCodec-25Hz-24kHz is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

Aratako

Aratako/MioCodec-25Hz-44.1kHz-v2

Aratako/MioCodec-25Hz-44.1kHz-v2 is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

aufklarer

aufklarer/DeepFilterNet3-CoreML

aufklarer/DeepFilterNet3-CoreML is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

aufklarer

aufklarer/PersonaPlex-7B-MLX-4bit

aufklarer/PersonaPlex-7B-MLX-4bit is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

aufklarer

aufklarer/Sidon-CoreML

aufklarer/Sidon-CoreML is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context