Qwen3.8 Omni Flash Realtime vs Qwen3.8 LiveTranslate Flash Realtime

Qwen3.8 Omni Flash Realtime vs Qwen3.8 LiveTranslate Flash Realtime at a glance

Qwen3.8 Omni Flash Realtime and Qwen3.8 LiveTranslate Flash Realtime are both Alibaba Cloud models in the Audio Generation category, available through the EmpirioLabs API.

Key differences

• Qwen3.8 Omni Flash Realtime is the newer release (Sep 21, 2026); Qwen3.8 LiveTranslate Flash Realtime was released on Sep 17, 2026.
• Qwen3.8 Omni Flash Realtime has the larger context window: 192K tokens, against 48K for Qwen3.8 LiveTranslate Flash Realtime.
• Qwen3.8 Omni Flash Realtime returns up to 65,536 output tokens per response, Qwen3.8 LiveTranslate Flash Realtime up to 4,096.
• Input types only Qwen3.8 Omni Flash Realtime accepts: Image, Video.
• Capabilities listed only for Qwen3.8 Omni Flash Realtime: video, function calling.
• Capabilities listed only for Qwen3.8 LiveTranslate Flash Realtime: voice cloning.
• Qwen3.8 Omni Flash Realtime lists the lower rate for Input: audio (per 1M audio input tokens) and Input (per 1M prompt tokens).

Qwen3.8 Omni Flash Realtime vs Qwen3.8 LiveTranslate Flash Realtime: specs

Qwen3.8 Omni Flash Realtime vs Qwen3.8 LiveTranslate Flash Realtime: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

Qwen3.8 Omni Flash Realtime vs Qwen3.8 LiveTranslate Flash Realtime: API parameters

Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.

Qwen3.8 Omni Flash Realtime vs Qwen3.8 LiveTranslate Flash Realtime: limits and notes

Qwen3.8 Omni Flash Realtime

Connecting

Full-duplex voice over a WebSocket at wss://api.empiriolabs.ai/v1/realtime?model=qwen3-8-omni-flash-realtime, authenticated with the ordinary Authorization Bearer header. Configure the session with session.update over the socket: voice, instructions, modalities, turn detection, sampling and the reply length limit, max_response_output_tokens.

Sending audio and video

• Append microphone audio as input_audio_buffer.append events.
• Append live video frames as input_image_buffer.append events. Frames are not message content, so an image inside a conversation item is rejected.
• Set video_representation_compact to normal before the first audio to read the same frames for a quarter of the input tokens.
• 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 not the same set as the Qwen3.5 Omni realtime models. Pick one from the voice list rather than carrying a voice across, or leave it unset and the default is supplied for you.

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.

Qwen3.8 LiveTranslate Flash Realtime

Spoken translation over a WebSocket at wss://api.empiriolabs.ai/v1/realtime?model=qwen3-8-livetranslate-flash-realtime, authenticated with the ordinary Authorization Bearer header. Set the target language with session.update before you send audio. With modalities set to ["text"], 31 more target languages translate to text only. Add glossary to set how specific terms are translated. Use a voice this model accepts, or leave the default Tina. To speak the translation in the speaker's own voice, set voice_clone to once (the voice heard at the start of the session) or always (the voice of whoever is speaking, matched before each reply); cloning adds no charge. Audio and text tokens are priced separately, and each completed turn is billed on its own from the usage the model reports.

How to call Qwen3.8 Omni Flash Realtime and Qwen3.8 LiveTranslate Flash Realtime

Each model has its own request. Get an API key from the EmpirioLabs dashboard.

Qwen3.8 Omni Flash Realtime

Qwen3.8 Omni Flash Realtime holds a live conversation over a WebSocket at wss://api.empiriolabs.ai/v1/realtime?model=qwen3-8-omni-flash-realtime, not over the HTTP endpoints. Connect with the model id qwen3-8-omni-flash-realtime and send your EmpirioLabs API key as an Authorization: Bearer header on the handshake. Audio travels both ways as base64 16-bit PCM. A browser cannot set headers on a WebSocket, so open this connection from your server and relay audio to the browser over your own socket.

import asyncio, json, os, websockets

async def main():
    async with websockets.connect(
        "wss://api.empiriolabs.ai/v1/realtime?model=qwen3-8-omni-flash-realtime",
        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.audio.delta":
                ...  # base64 audio chunk, append to your playback buffer
            elif event["type"] == "response.done":
                break

asyncio.run(main())

Qwen3.8 LiveTranslate Flash Realtime

Qwen3.8 LiveTranslate Flash Realtime is spoken translation over a WebSocket at wss://api.empiriolabs.ai/v1/realtime?model=qwen3-8-livetranslate-flash-realtime, not over the HTTP endpoints. Connect with the model id qwen3-8-livetranslate-flash-realtime and send your EmpirioLabs API key as an Authorization: Bearer header on the handshake. Set the target language with a session.update before you send audio. Audio travels both ways as base64 16-bit PCM. A browser cannot set headers on a WebSocket, so open this connection from your server and relay audio to the browser over your own socket.

import asyncio, json, os, websockets

async def main():
    async with websockets.connect(
        "wss://api.empiriolabs.ai/v1/realtime?model=qwen3-8-livetranslate-flash-realtime",
        additional_headers=[
            ("Authorization", f"Bearer {os.environ['EMPIRIOLABS_API_KEY']}"),
        ],
        max_size=None,
    ) as ws:
        print(json.loads(await ws.recv())["type"])  # session.created

        import base64

        await ws.send(json.dumps({
            "type": "session.update",
            "session": {
                "voice": "Tina",
                "translation": {"language": "en"},
                "modalities": ["text", "audio"],
            },
        }))

        # 16-bit PCM microphone audio, base64 encoded, in small chunks.
        for chunk in read_microphone_chunks():
            await ws.send(json.dumps({
                "type": "input_audio_buffer.append",
                "audio": base64.b64encode(chunk).decode(),
            }))

        async for raw in ws:
            event = json.loads(raw)
            if event["type"] == "response.audio.delta":
                ...  # base64 audio chunk, append to your playback buffer
            elif event["type"] in ("response.audio_transcript.text", "response.text.text"):
                print(event.get("text") or "")
            elif event["type"] == "response.done":
                break

asyncio.run(main())

Qwen3.8 Omni Flash Realtime vs Qwen3.8 LiveTranslate Flash Realtime: common questions

What is the difference between Qwen3.8 Omni Flash Realtime and Qwen3.8 LiveTranslate Flash Realtime?

Qwen3.8 Omni Flash Realtime is the newer release (Sep 21, 2026); Qwen3.8 LiveTranslate Flash Realtime was released on Sep 17, 2026. Qwen3.8 Omni Flash Realtime has the larger context window: 192K tokens, against 48K for Qwen3.8 LiveTranslate Flash Realtime. Qwen3.8 Omni Flash Realtime returns up to 65,536 output tokens per response, Qwen3.8 LiveTranslate Flash Realtime up to 4,096. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, Qwen3.8 Omni Flash Realtime or Qwen3.8 LiveTranslate Flash Realtime?

Qwen3.8 Omni Flash Realtime is the newer release (Sep 21, 2026); Qwen3.8 LiveTranslate Flash Realtime was released on Sep 17, 2026.

Which has the lower rate, Qwen3.8 Omni Flash Realtime or Qwen3.8 LiveTranslate Flash Realtime?

Qwen3.8 Omni Flash Realtime lists the lower rate for Input: audio (per 1M audio input tokens) and Input (per 1M prompt tokens). Both live rate cards are on this page and always match what the API charges.

Can I try Qwen3.8 Omni Flash Realtime and Qwen3.8 LiveTranslate Flash Realtime in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and press Start session to try it in your browser.