Models›Gemma 3 27B
Gemma 3 27B
Google's open-source 27B model with multimodal capability — vision plus text in a single 24GB-compatible package.
27B
parameters
24GB
minimum RAM
Overview
What makes Gemma 3 27B notable
Gemma 3 27B is Google's flagship open-source model, notable for combining vision and text capabilities in a single model. Beyond just chat, it can analyze images, charts, and documents visually — a capability few local models offer at this size.
On text tasks, Gemma 3 27B performs well across chat, summarization, and document analysis. Its multilingual support is strong, and it's particularly capable at understanding structured documents like forms, tables, and formatted reports.
The multimodal capability makes it useful in workflows where you're reviewing scanned documents, screenshots, or image-heavy content alongside text. For document-heavy professions — legal, financial, healthcare — being able to process both image and text locally is a meaningful advantage.
Best use cases
What it excels at
- ✓Analyzing images, charts, and visual documents locally
- ✓Document review combining text and image content
- ✓Multilingual chat and translation
- ✓Structured document extraction (forms, tables, reports)
- ✓Research assistance with mixed-media sources
- ✓Accessible, conversational AI for general teams
Compatibility
Hardware requirements
| Mac model | RAM | Performance | Notes |
|---|---|---|---|
| Mac Mini M4 Pro | 24GB | Minimum | Q4 quantization — minimum spec, tight fit |
| Mac Mini M4 Pro | 48GB | Excellent | Q6/Q8 quantization — recommended configuration |
| Mac Studio M4 Max | 128GB | Optimal | Q8 quantization — blazing fast, full quality |
| Mac Studio M3 Ultra | 192GB+ | Optimal | Q8 full precision — run multiple models simultaneously |
Speed
Approximate tokens/second
Use case fit
Quality ratings
Cost comparison
Without local AI, the equivalent capability costs:
Cloud equivalent
Gemini Flash
~$120/moper month
Local with Maai Machines
Gemma 3 27B
$0per month
~$10/month electricity. One-time setup.
Run Gemma 3 27B on your own hardware.
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