- Context
- 66Ktokens
- Released
- 1y ago
- Size
- 30Bparameters
Multimodal reasoning model accepting text, images, video, and audio with text output
- Multimodal model
- Open weights · 30B
- Accepts images, audio, video
- Reasoning
- Tools
How it compares
Medium30BAn open-weight model of 25 to 100 billion parameters, for a workstation or a single server GPU.
Open models of a similar size from other labs
Add the models you use to see how this one compares.
Sign inAdditional source evidence
- Source model
- alibaba/qwen3-omni-30b-a3b-thinking
- Source family
- qwen
- Last updated
- 2025-09-22
- Model context
- 66K
- Model output limit
- 16K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Complete source record (JSON)
{
"id": "alibaba/qwen3-omni-30b-a3b-thinking",
"name": "Qwen3 Omni 30B A3B Thinking",
"description": "Multimodal reasoning model accepting text, images, video, and audio with text output",
"family": "qwen",
"last_updated": "2025-09-22",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"video",
"audio"
],
"output": [
"text"
]
},
"limit": {
"context": 65536,
"output": 16384
},
"release_date": "2025-09-22",
"open_weights": true,
"license": "Apache-2.0",
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Thinking"
}
]
}Frequently asked questions
Running locally
About 21.4 GB at Q4, 37.2 GB at Q8 and 69.5 GB at FP16. These are estimates from the 30B parameter count, covering weights plus about 15% and 0.5 GB for a short context.
Yes on 24 GB: it fits at Q4 with an estimated 21.4 GB. No on 16 GB, 12 GB and 8 GB: none of them fit at Q4, Q8 or FP16 (estimate).
Yes. Q4 needs an estimated 21.4 GB, and assuming macOS lets the GPU use about 75% of unified memory, the smallest common Mac memory size that fits Q4 is 32 GB.
Privacy and data
Yes. The model has open weights, so you can self-host it for full control of your data.
Capabilities and specs
The context window is 66K tokens (65,536) and the maximum output is 16K tokens (16,384).
It reads text, image, video and audio. PDF support is not listed.
Yes, tool calling (function calling) is supported.
Yes, a reasoning mode is supported.
Quality and benchmarks
Closest alternatives, matched on model kind and release date with no comparable price: ERNIE 4.5 21B A3B Thinking by Baidu, Apertus 70B by Swiss AI and Apertus 8B by Swiss AI.
ERNIE 4.5 21B A3B ThinkingQwen3 Omni 30B A3B Thinking vs ERNIE 4.5 21B A3B ThinkingApertus 70BQwen3 Omni 30B A3B Thinking vs Apertus 70BApertus 8BQwen3 Omni 30B A3B Thinking vs Apertus 8B
Versions and lineage
Qwen3 Omni 30B A3B Thinking has a 66K token context (65,536) and was released on September 22, 2025. Qwen3 235B-A22B has a 131K token context (131,072) and was released on April 28, 2025.
Qwen3 235B-A22BQwen3 Omni 30B A3B Thinking vs Qwen3 235B-A22B
Licensing and access
It has open weights, released under the Apache-2.0 license.
Yes. The Apache 2.0 license is permissive and allows commercial use.
Basics
Qwen made it, and it was released on September 22, 2025.
Yes, the model has open weights.
Generated from Vertical Tabs data, updated November 10, 2026.





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