Gemma 3
GoogleLarge Language ModelOpen SourceGoogle's open-weight model family derived from Gemini research. Available in sizes from 1B to 27B for on-device and self-hosted deployments.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- Open weights with permissive license — allows commercial use
- Multiple sizes (1B, 4B, 12B, 27B) covering everything from phones to servers
- Smaller variants can run on smartphones and Raspberry Pi
- Vision capabilities in 12B and 27B variants
- Backed by Google — benefits from Gemini research without the cost
Cons
- Not fully open — training code and data not released, only weights
- Smaller models (1B, 4B) have significant quality limitations for complex tasks
- Substantially less capable than full Gemini Pro/Flash models
- Smaller community and fewer fine-tunes compared to Llama ecosystem
What to Use It For
Perfect For
Tiny variants fit on smartphones and Raspberry Pi — no cloud needed
Open weights with permissive license let you run everything locally — zero data leaves your machine
Small enough to fine-tune on consumer hardware — perfect for understanding how LLMs work
Good For
12B and 27B variants provide reasonable conversational quality without expensive infrastructure
Good enough for autocomplete and simple snippet generation at very low resource cost
Not Recommended
Substantially less capable than full Gemini Pro/Flash — the gap is very noticeable on hard tasks
Try instead: Gemini 2.5 Pro, Claude Sonnet 4
No managed hosting with uptime guarantees — you own all the ops burden
Try instead: use a managed API
Do Not Use For
Small model size means it cannot maintain coherent reasoning chains beyond basic logic
Try instead: Claude Opus 4, o3
128K window exists but quality degrades sharply on long contexts in small models
Try instead: Gemini 2.5 Pro