Comparison
Gemma 4 vs Gemini
Same research lab, two different products. Gemma 4 is the open-weights sibling of Gemini — built from the same data, training, and safety pipelines, but released for you to download and run.
| Feature | Gemma 4 | Gemini (Google DeepMind) |
|---|---|---|
| Model type | Open weights, downloadable | Closed, hosted frontier model |
| License | Gemma license — research & commercial use | Google Cloud / AI Studio Terms of Service |
| Self-hosting | ✓ Run anywhere | ✗ Vertex AI, AI Studio, Gemini API only |
| Fine-tuning | ✓ Full SFT, LoRA, QLoRA, DPO, RLHF | Tuning service for select Gemini models |
| Model sizes | 2B, 9B, 27B, 70B | Nano, Flash, Pro, Ultra (sizes undisclosed) |
| Context window | 128K tokens | Up to 2M tokens (Gemini 1.5/2.0 Pro) |
| Multimodal | Text + images | Text, images, audio, video, code |
| Reasoning mode | ✓ Thinking variants | ✓ Gemini Thinking / Deep Research |
| Data privacy | ✓ Data never leaves your infrastructure | Data processed by Google Cloud (with enterprise controls) |
| Offline use | ✓ Full offline inference | ✗ Requires internet |
| Shared lineage | Built from the same research as Gemini | Google DeepMind's flagship hosted model |
| Best for | On-prem, regulated, on-device, research | Teams wanting Google's most capable hosted AI |
Choose Gemma 4 if you…
- Need open weights for compliance, audit, or research
- Want to run inference on your own hardware
- Plan to fine-tune or distill the underlying model
- Are building on-device or air-gapped applications
Choose Gemini if you…
- Want the largest context windows Google offers
- Need full multimodal: video, audio, code, images
- Prefer a managed API with Google Cloud integration
- Want frontier-tier capability without operating GPUs
Other comparisons
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