> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.empiriolabs.ai/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.empiriolabs.ai/_mcp/server. # Qwen Audio 3.1 Realtime Plus > Duplex speech conversation over one socket, with 27 voices, native web search, tool calling, and separate text and audio token rates. ![Qwen Audio 3.1 Realtime Plus](https://media.empiriolabs.ai/model-logos/qwen.png) [Alibaba Cloud](/providers/alibaba) · Audio Generation `WEBSOCKET /v1/realtime` Duplex speech conversation over one socket, with 27 voices, native web search, tool calling, and separate text and audio token rates. ## At a glance | Field | Value | | ------------------- | ------------------------------------------------------------------------------------------- | | Model id | `qwen-audio-3-1-realtime-plus` | | Model release date | 2026-09-20 | | Input modalities | Audio, Text | | Output modalities | Audio, Text | | Context window | 256K | | Weight precision | - | | Max output tokens | 16,384 | | Region | Singapore | | Features | realtime, speech_to_speech, audio_in, audio_out, function_calling, web_search, multilingual | | Native inference | No | | New | Yes | | Supported endpoints | `WEBSOCKET /v1/realtime` | | Alternate model ids | `qwen-audio-3.1-realtime-plus`, `alibaba/qwen-audio-3-1-realtime-plus` | ## Pricing | Charge | Spec | Rate | | ------------- | ----------------------------- | ------- | | Input: audio | per 1M audio input tokens | \$12.80 | | Input | per 1M prompt tokens | \$1.60 | | Output | per 1M generated tokens | \$12.80 | | Output: audio | per 1M generated audio tokens | \$48.00 | | Web search | per call when invoked | \$0.00 | ## Example request ```python import asyncio, json, os, websockets URL = "wss://api.empiriolabs.ai/v1/realtime?model=qwen-audio-3-1-realtime-plus" async def main(): async with websockets.connect( URL, additional_headers=[("Authorization", f"Bearer {os.environ['EMPIRIOLABS_API_KEY']}")], max_size=None, ) as ws: print(json.loads(await ws.recv())["type"]) # session.created await ws.send(json.dumps({ "type": "conversation.item.create", "item": {"type": "message", "role": "user", "content": [{"type": "input_text", "text": "Say hello."}]}, })) await ws.send(json.dumps({"type": "response.create"})) async for raw in ws: event = json.loads(raw) if event["type"] == "response.done": break asyncio.run(main()) ``` ## Parameters | Parameter | Type | Required | Default | Description | | --------------------- | ------- | -------- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `voice` | enum | no | `"longanqian_v3.1"` | Speaking voice for the session. Set it with session.update before the model produces any audio. These voices are specific to this model. · Allowed: `longanqian_v3.1`, `longanhuan_v3.1`, `longanlingxin_v3.1`, `longanfengyue_v3.1`, `xunanchuan_v3.1`, `beth_v3.1`, `betty_v3.1`, `cally_v3.1`, `longanqian`, `longanlingxin`, `longanlufeng`, `longanlingxi`, `longanxiaoxin`, `longanfengyue`, `longanyuanfei`, `longanhuan_v3.6`, `longjielidou_v3.6`, `longpaopao_v3.6`, `longhuohuo_v3.6`, `longchuanshu_v3.6`, `loongmary`, `loongeva_v3.6`, `loongjohn`, `daniel`, `echo`, `hannah`, `sherry` | | `instructions` | string | no | - | System guidance for how the model should behave and speak during the conversation. | | `enable_search` | boolean | no | false | Search the web for real-time information. Cannot be used in the same session as function calling. Search results are added to the conversation and count as input tokens. | | `modalities` | string | no | `["text", "audio"]` | Which output types the model returns for a turn. Drop audio for a text-only reply. | | `input_audio_format` | enum | no | `"pcm16"` | Encoding of the audio you append to the input buffer: base64 16-bit PCM at 16 kHz. · Allowed: `pcm16` | | `output_audio_format` | enum | no | `"pcm24"` | Encoding of the audio the model streams back: 16-bit PCM at 24 kHz. · Allowed: `pcm24` | | `turn_detection` | string | no | `{"type": "server_vad"}` | Server-side voice activity detection. Decides when you have stopped speaking and the model should reply. It is on by default on this model. | ## Notes **Connecting** Full-duplex voice over a WebSocket at `wss://api.empiriolabs.ai/v1/realtime?model=qwen-audio-3-1-realtime-plus`, authenticated with the ordinary Authorization Bearer header. Configure the session with `session.update` over the socket: voice, instructions, modalities, and turn detection. **Sending audio** * Append microphone audio as `input_audio_buffer.append` events. * Voice activity detection decides when you have stopped speaking, so keep streaming for about a second after the speech ends. **Voices** The voices on this model are its own set. Pick one from the voice list rather than carrying a voice across from another model, or leave it unset and the default is supplied for you. **Web search** Web search is off by default. Turn it on with `enable_search`. It cannot be enabled in the same session as function calling, and search results are added to the conversation and count as input tokens. **Billing** Audio and text tokens are priced separately in both directions, and each completed turn is billed on its own from the usage the model reports. --- *Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/qwen-audio-3-1-realtime-plus`.