Ora / Comparison
Qwen 3.5 VL on Mac: how Ora’s 4B, 8B, and 32B local model options line up in practice.
The useful model question on a Mac is not “which number is biggest.” It is which local model gives you the right tradeoff between speed, hardware pressure, vision depth, and conversational quality. Ora’s current local Qwen 3.5 VL lineup gives three practical choices: 4B for lighter hardware and faster response, 8B for the balanced default, and 32B for the deepest local reasoning when your Mac has the headroom.
The real decision
Pick the smallest model that reliably gives you the quality you actually need.
Smaller models feel lighter and faster
The advantage of 4B-class local models is responsiveness and lower hardware pressure. They are often the right answer when the assistant is handling quick workflow tasks, lightweight reasoning, and the Mac itself should stay snappy while the model runs.
Larger models earn their keep through depth
The advantage of 32B-class local models is better headroom for harder reasoning, richer visual interpretation, and more demanding requests. The tradeoff is that they ask more from the machine and are not the obvious default for every Mac.
Comparison table
How the three local Qwen VL sizes differ inside Ora’s workflow.
| Area | 4B | 8B | 32B |
|---|---|---|---|
| Best fit | Fast everyday voice tasks on lighter hardware | Balanced default for most local Mac workflows | Deepest local reasoning and vision-heavy work on stronger Macs |
| Responsiveness | Fastest and lightest feeling | Still practical while offering more depth | Slowest of the three, but also the most capable |
| Reasoning depth | Good for short and practical tasks | Better balance of quality and speed | Best when requests are longer, harder, or more nuanced |
| Vision use | Useful for lighter screenshot and image interpretation | Stronger multimodal balance for regular use | Best local option when image reasoning quality matters most |
| Hardware pressure | Lowest | Moderate | Highest |
| Recommended mindset | Choose this when speed and headroom matter most | Choose this when you want the safest default | Choose this when quality matters more than raw responsiveness |
Practical rule
Model choice should follow workflow, not ego.
Start with 8B if you want the safest default
It is the most balanced choice when you want local multimodal capability without immediately jumping to the heaviest option.
Drop to 4B when the Mac should stay as light and responsive as possible
This is the pragmatic choice when your tasks are shorter, your hardware is tighter, or speed matters more than richer local reasoning.
Move up to 32B when local quality is the priority
If you want the strongest local model option Ora offers and your Mac can carry it, 32B is the right tool for the hardest on-device requests.
Important note
This is a practical guide, not a benchmark chart.
Real-world feel depends on Apple Silicon generation, available memory, quantization, whether vision is active, and what else is running on the Mac. The point of this page is to help choose the right direction, not to pretend one size wins every workflow.
What to optimize for
The useful choice is the model that keeps the whole assistant loop healthy.
Speech recognition, local reasoning, voice response, and native Mac actions all contribute to how Ora feels. The right model is the one that keeps that full loop fast enough and smart enough for your actual work.
Next step
See how the local voice loop comes together.
If local model choice is what matters to you, the next useful step is the on-device speech-recognition page and the main Ora product page.