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Llama 4 Maverick vs DeepSeek R1
Side-by-side comparison of specs, pricing, and capabilities
| Spec | 💬 Llama 4 Maverick | 🧠 DeepSeek R1 |
|---|---|---|
| Provider | Meta | DeepSeek |
| Category | 💬 Text Generation | 🧠 Reasoning |
| Parameters | 400B | 671B |
| Context Window | 1.0M tokens | 128K tokens |
| License | 🔓 open | 🔓 open |
| Input Price | N/A | $0.55 |
| Output Price | N/A | $2.19 |
| API Available | ✅ | ✅ |
| Released | Apr 5, 2025 | Jan 20, 2025 |
| Trending Score | 🔥 90 | 🔥 86 |
Llama 4 Maverick Strengths
- ✓Open weights
- ✓400B MoE (17B active)
- ✓1M context
- ✓Strong multilingual
DeepSeek R1 Strengths
- ✓Transparent reasoning chains
- ✓Strong at math/logic
- ✓Open weights
- ✓RL-trained
About Llama 4 Maverick
Meta's flagship open-weight MoE model with 400B total parameters and 17B active. Strong multilingual and coding performance.
View full details →About DeepSeek R1
Reasoning-specialized model trained with reinforcement learning. Shows chain-of-thought reasoning transparently.
View full details →❓ Frequently Asked Questions
Which is better, Llama 4 Maverick or DeepSeek R1?
It depends on your use case. Llama 4 Maverick (Meta) has a trending score of 90, while DeepSeek R1 (DeepSeek) scores 86. Check the comparison table above for detailed specs.
Is Llama 4 Maverick cheaper than DeepSeek R1?
See the pricing section above for current rates.
Can I use both Llama 4 Maverick and DeepSeek R1?
Yes! Many developers use multiple models for different tasks. You might use one for complex reasoning and another for high-volume, cost-sensitive workloads.