# Qwen3-Omni Arrives With Any-to-Any Multimodality

> The new 30B Mixture-of-Experts model from Alibaba's Qwen team can process and generate content across text, image, and audio formats.

Published by The Open Weights on Sep 20, 2025. Canonical: https://theopenweights.com/news/qwen3-omni-30b-a3b-nwcf

## Key facts

- Company: Qwen · Alibaba
- Model: Qwen3-Omni-30B-A3B-Instruct
- Version: Qwen3-Omni
- Category: Any-to-Any
- Modalities: Any-to-Any, Vision-Language, Text → Speech, Speech → Text
- License: Other (Open weights, commercial use allowed)
- Parameters: 30B (mixture of experts)
- Active parameters: 3B
- Context window: 66K tokens
- Architecture: Qwen3OmniMoeForConditionalGeneration
- Precision: BF16
- Weights size: 70.5 GB
- Languages: 119 languages
- Significance: major
- Published: 2025-09-20
- Last verified: 2026-06-17
- Hugging Face: https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct
- Canonical URL: https://theopenweights.com/news/qwen3-omni-30b-a3b-nwcf

Alibaba's Qwen team has released Qwen3-Omni, an ambitious new model family that pushes the boundaries of open multimodal AI. The first release, a 30-billion parameter instruction-tuned variant, is designed for "any-to-any" tasks, meaning it can natively process and generate content across text, vision, and audio domains.

This omni-modal capability sets it apart from typical open-source releases. While many models can interpret images and text, Qwen3-Omni can handle a wider range of tasks, including speech-to-text transcription, text-to-speech generation, and visual language understanding. This allows it to function as a more versatile and integrated assistant, capable of understanding a spoken query about an image and responding with a spoken answer.

## Technical Details

The model is a Mixture of Experts (MoE) architecture with 30 billion total parameters, though only 8.7 billion are active during inference, offering a balance between capability and computational efficiency. According to its [official model card](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct), it's built to handle complex, interleaved inputs from different modalities.

Qwen3-Omni represents a significant step forward for developers building sophisticated, multi-sensory AI applications. However, potential users should note that the model is available under a custom license, not a standard open-source license like Apache 2.0 or MIT, which will require review for commercial use cases.

## Get the model

- [Hugging Face](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct)

## Sources

- [Qwen/Qwen3-Omni-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct) — Hugging Face, Sep 20, 2025

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "Qwen3-Omni Arrives With Any-to-Any Multimodality", The Open Weights, Sep 20, 2025, https://theopenweights.com/news/qwen3-omni-30b-a3b-nwcf