Alibaba: Qwen-Omni Turbo
Qwen omni model for text, vision, audio, and multimodal agent tasks
- Model lab
- Alibaba
- Model family
- qwen
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to alibaba/qwen-omni-turbo.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "alibaba/qwen-omni-turbo"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Qwen-Omni Turbo API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.0464 / 1M tokens |
| Output | USD 0.184 / 1M tokens |
| Audio input | USD 2.8672 / 1M tokens |
| Audio output | USD 5.7344 / 1M tokens |
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Qwen-Omni Turbo Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Qwen-Omni TurboThis page | USD 0.0464 / 1M tokens | USD 0.184 / 1M tokens | 32,768 | Audio output · Tool calling |
| Gemini 3.1 Flash Live Preview | USD 0.6 / 1M tokens | USD 3.6 / 1M tokens | 131,072 | Audio output · Reasoning · Tool calling |
| GPT-Realtime-2.1 | USD 3.2 / 1M tokens | USD 19.2 / 1M tokens | 128,000 | Audio output · Reasoning · Tool calling |
| Gemini 3.5 Live Translate Preview | USD 2.8 / 1M tokens · Context ≤ 16384 tokens · Maximum output 32768 tokens | USD 16.8 / 1M tokens · Context ≤ 16384 tokens · Maximum output 32768 tokens | 131,072 | Audio output |
| Lyria 3 Clip Preview | — | USD 0.032 / song · 30 seconds per song | 131,072 | Audio output |
Model specifications
- Input
- text, image, audio, video
- Output
- text, audio
- Context window
- 32,768
- Maximum output
- 2,048
- Release date
- 2025-01-19
- Attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Temperature setting
- Yes
- Open weights
- No
Frequently asked questions
What is Qwen-Omni Turbo for?
Qwen omni model for text, vision, audio, and multimodal agent tasks
What inputs and outputs does Qwen-Omni Turbo support?
Recorded inputs: text, images, audio, video; outputs: text, audio.
How is Qwen-Omni Turbo priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.0464 / 1M tokens; Output USD 0.184 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Qwen-Omni Turbo?
Current model records list Context window 32,768 tokens; Maximum output 2,048 tokens.
What model parameter does the Quickstart use?
The example uses alibaba/qwen-omni-turbo. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.
Related models
No related catalog models are recorded for this model family.