Qwen-Omni Turbo Realtime pricing, context window and limits
Qwen-Omni Turbo Realtime costs $0.23 per million input tokens and $0.918 per million output tokens at Alibaba Qwen list price. It accepts up to 32,768 tokens of context and returns up to 2,048 tokens.
- Model id
qwen-omni-turbo-realtime - Snapshot
What does Qwen-Omni Turbo Realtime cost?
| Input | $0.23 |
|---|---|
| Output | $0.918 |
| Cached input (read) | — |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can Qwen-Omni Turbo Realtime read and write?
| Context window | 32,768 |
|---|---|
| Max output | 2,048 |
What can Qwen-Omni Turbo Realtime do?
| Vision (image input) | Yes |
|---|---|
| Tool calling | Yes |
| Structured output | No |
| Reasoning | No |
| Input | text, image, audio |
| Output | text, audio |
What does a request to Qwen-Omni Turbo Realtime cost?
| A typical request: 1,000 tokens in, 500 out | $0.00069 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.0032 |
| 1,000 typical requests | $0.69 |
| 1 million tokens in and 1 million out | $1.15 |
Among 64 Alibaba Qwen models with a published price, Qwen-Omni Turbo Realtime is the 36th cheapest by input price. Its context window is the 51st largest of 64. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call Qwen-Omni Turbo Realtime through DVARA?
Configure the qwen provider in the DVARA LLM Gateway and send the model id qwen-omni-turbo-realtime. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
Which other Alibaba Qwen models are there?
- Qwen-Omni Turbo$0.058 in · $0.23 out · 33K context
- Qwen Plus$0.115 in · $0.287 out · 1M context
- Qwen-MT Turbo$0.101 in · $0.28 out · 16K context
- Qwen Plus Character$0.115 in · $0.287 out · 33K context
- Qwen-MT Plus$0.259 in · $0.775 out · 16K context
- Qwen Turbo$0.044 in · $0.087 out · 1M context
- Qwen Max$0.345 in · $1.377 out · 131K context
- Qwen-VL Max$0.23 in · $0.574 out · 131K context
- Qwen Math Turbo$0.287 in · $0.861 out · 4K context
- Qwen-VL OCR$0.043 in · $0.072 out · 34K context
- Qwen Math Plus$0.574 in · $1.721 out · 4K context
- Qwen-VL Plus$0.115 in · $0.287 out · 131K context
Which models from other providers are similar to Qwen-Omni Turbo Realtime?
These are the closest in context window and input price, one per provider.
- Nano BananaGoogle Gemini · $0.3 in · $30 out · 33K context
- Qwen3 32BAmazon Bedrock · $0.15 in · $0.6 out · 33K context
- Voxtral Small (latest)Mistral AI · $0.1 in · $0.3 out · 32K context
- GPT-3.5-turboOpenAI · $0.5 in · $1.5 out · 16K context
- GLM-4.5-AirZhipu GLM · $0.2 in · $1.1 out · 131K context