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Llama 4 Scout vs Gemma 3
Side-by-side comparison of specs, pricing, and capabilities
| Spec | 💬 Llama 4 Scout | 💬 Gemma 3 |
|---|---|---|
| Provider | Meta | |
| Category | 💬 Text Generation | 💬 Text Generation |
| Parameters | 109B | 27B |
| Context Window | 512K tokens | 128K tokens |
| License | 🔓 open | 🔓 open |
| Input Price | N/A | N/A |
| Output Price | N/A | N/A |
| API Available | ✅ | ❌ |
| Released | Apr 5, 2025 | Mar 12, 2025 |
| Trending Score | 🔥 82 | 🔥 76 |
Llama 4 Scout Strengths
- ✓Fits on single GPU
- ✓Open weights
- ✓512K context
- ✓Cost-effective deployment
Gemma 3 Strengths
- ✓Runs on consumer hardware
- ✓Open weights
- ✓Strong for its size
- ✓128K context
About Llama 4 Scout
Efficient MoE model with 109B total parameters. Fits on a single H100 GPU while delivering strong performance.
View full details →About Gemma 3
Google's open-weight model family. Small, efficient, and capable — runs on a single GPU or even a laptop.
View full details →❓ Frequently Asked Questions
Which is better, Llama 4 Scout or Gemma 3?
It depends on your use case. Llama 4 Scout (Meta) has a trending score of 82, while Gemma 3 (Google) scores 76. Check the comparison table above for detailed specs.
Is Llama 4 Scout cheaper than Gemma 3?
See the pricing section above for current rates.
Can I use both Llama 4 Scout and Gemma 3?
Yes! Many developers use multiple models for different tasks. You might use one for complex reasoning and another for high-volume, cost-sensitive workloads.