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AI Tool Comparison
Gemma 3 vs Llama 4
A side-by-side breakdown to help you pick the right tool for your workflow.
Gemma 3
Superseded by Gemma 4 (April 2026) — Gemini-3-derived reasoning and agentic capability in five open sizes from 2B to 31B, running on phones, laptops, or servers with a 256K context window.
Models
free
Llama 4
Llama 4 Scout and Maverick remain Meta's last open-weight frontier models (April 2025) with up to 10M-token context — Meta paused the open Llama line in 2026 in favor of a new proprietary flagship.
Models
free
Bottom Line
Llama 4 edges ahead on rating (4.6 vs 4.5), but the right pick still comes down to which workflow you're running.
Choose Gemma 3 if…
Models
Choose Llama 4 if…
Models
| Attribute | Gemma 3 | Llama 4 |
|---|---|---|
| Category | Models | Models |
| Pricing | free | free |
| Pricing Detail | Free and open-weight (Apache 2.0) — now on Gemma 4 | Free and open-weight — no Llama 5 has shipped |
| Rating |
Key Features
Gemma 3
- Open weights
- Multilingual and multimodal
- Multiple sizes
- Runs on single GPU
Llama 4
- Open weights
- Long context window
- Multimodal variants
- Huge fine-tuning ecosystem
Pros
Gemma 3
- •High quality and open
- •Good documentation
- •Flexible sizes
Llama 4
- •Industry-standard open model
- •Massive community support
- •Free to use
Cons
Gemma 3
- Self-hosting expertise needed
- Behind frontier closed models
Llama 4
- Large variants need serious hardware
- License restrictions at scale