The Qwen-Omni model accepts multimodal inputs including text, images, audio, and video, and generates text or speech responses. It offers a variety of expressive human-like voices and supports multilingual and dialect speech output, applicable to scenarios such as visual recognition, emotion sensing, and educational training. Usage \| API reference #### International If you select the International deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.
function_callinghttps://dashscope-intl.aliyuncs.com/compatible-mode/chat| Model | Context | Max out | Pricing |
|---|---|---|---|
| qwen3-0.6b | 256K | — | — |
| qwen3-1.7b | 256K | — | — |
| qwen3-14b | 256K | — | — |
| qwen3-235b-a22b-instruct | 256K | — | — |
| qwen3-235b-a22b-thinking | 256K | — | — |
| qwen3-235b-a22b | 256K | — | — |
| qwen3-30b-a3b-instruct | 256K | — | — |
| qwen3-30b-a3b-thinking | 256K | — | — |
| qwen3-30b-a3b | 256K | — | — |
| qwen3-32b | 256K | — | — |
| qwen3-4b | 256K | — | — |
| qwen3-8b | 256K | — | — |
| qwen3-asr-flash-filetrans | — | — | — |
| qwen3-asr-flash-realtime | — | — | — |
| qwen3-asr-flash | — | — | — |
| qwen3-coder-30b-a3b-instruct | 256K | — | — |
| qwen3-coder-480b-a35b-instruct | 256K | — | — |
| qwen3-coder-flash | 1M | — | — |
| qwen3-coder-next | 256K | 66K | — |
| qwen3-coder-plus | 1M | 66K | — |
| qwen3-livetranslate-flash-realtime | 53K | 4K | — |
| qwen3-livetranslate-flash | 53K | 4K | — |
| qwen3-max-preview | 256K | — | — |
| qwen3-max | 256K | 33K | — |
| qwen3-next-80b-a3b-instruct | 256K | — | — |
| qwen3-next-80b-a3b-thinking | 256K | — | — |
| qwen3-omni-flash-realtime | 66K | 16K | — |
| qwen3-omni-flash | 66K | 33K | — |
| qwen3-rerank | — | — | — |
| qwen3-tts-flash-realtime | — | — | — |
| qwen3-tts-flash | — | — | — |
| qwen3-tts-instruct-flash-realtime | — | — | — |
| qwen3-tts-instruct-flash | — | — | — |
| qwen3-vl-235b-a22b-instruct | 129K | — | — |
| qwen3-vl-30b-a3b-instruct | 129K | — | — |
| qwen3-vl-32b-instruct | 129K | — | — |
| qwen3-vl-8b-instruct | 129K | — | — |
| qwen3-vl-embedding | — | — | — |
| qwen3-vl-flash | 82K | — | — |
| qwen3-vl-plus | 262K | 82K | — |
| qwen3-vl-rerank | — | — | — |
| qwen3-vl-32b-thinking | 131K | 82K | $0.16$0.64 |
| qwen3-vl-8b-thinking | 127K | — | $0.18$2.1 |
| qwen3-vl-30b-a3b-thinking | 127K | — | $0.2$2.4 |
| qwen3-vl-235b-a22b-thinking | 127K | — | $0.4$4 |
| qwen3-omni-30b-a3b-captioner | 66K | 33K | $3.81$3.06 |
/v1/models/alibaba/qwen3-omni-flashThe Qwen-Omni model accepts multimodal inputs including text, images, audio, and video, and generates text or speech responses. It offers a variety of expressive human-like voices and supports multilingual and dialect speech output, applicable to scenarios such as visual recognition, emotion sensing, and educational training. Usage \| API reference #### International If you select the International deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.