The GLM-5 repository presents language models for agentic engineering and coding.
Open source
24 alternativesQwen3-Omni
Qwen3-Omni understands text, audio, images, and video, and can generate speech in real time.
About Qwen3-Omni
Qwen3-Omni is an open source, multilingual omni-modal foundation model from the Qwen team at Alibaba Cloud. It accepts text, images, audio, and video as input and produces streaming responses in text and speech.
The repository provides model downloads, usage cookbooks for tasks such as speech recognition, speech translation, sound and music analysis, OCR and object grounding, and use through Transformers, vLLM, DashScope API, local web UI, and Docker. It supports 119 text languages, 19 listed speech input languages, and 10 listed speech output languages.
Key features
- Accepts text, image, audio, and video inputs
- Generates streaming text and spoken responses in real time
- Recognizes speech input in 19 listed languages
- Produces speech output in 10 listed languages
- Customizes behavior through system prompts
- Includes separate model variant for detailed audio captioning
Best for: Developers and researchers building multilingual prototypes that use combined text, audio, image, and video input with speech output.
Good for
- Open source repository with cookbooks, web demo scripts and Docker files
- Single model handles text, image, audio, and video input
- Covers 119 text languages and multiple speech input and output languages
Qwen3-Omni at a glance
- Website
- github.com/QwenLM/Qwen3-Omni
- Category
- AI & Machine Learning › Models & ML Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Qwen3-Omni FAQ
What inputs and outputs does Qwen3-Omni handle?
It processes text, images, audio, and video and returns streaming responses in text and natural speech.
What languages are supported?
It supports 119 text languages, 19 listed speech input languages, and 10 listed speech output languages named in the repository.
How can Qwen3-Omni be run?
Through Transformers, vLLM, DashScope API, online demos, a local web UI, and Docker as documented in the repository.
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