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Llama 4 Maverick vs DeepSeek V3.1
Side-by-side comparison of specs, pricing, and capabilities
| Spec | 💬 Llama 4 Maverick | 🧠 DeepSeek V3.1 |
|---|---|---|
| Provider | Meta | DeepSeek |
| Category | 💬 Text Generation | 🧠 Reasoning |
| Parameters | 400B | 671B |
| Context Window | 1.0M tokens | 128K tokens |
| License | 🔓 open | 🔓 open |
| Input Price | N/A | $0.27 |
| Output Price | N/A | $1.10 |
| API Available | ✅ | ✅ |
| Released | Apr 5, 2025 | Jun 1, 2025 |
| Trending Score | 🔥 90 | 🔥 88 |
Llama 4 Maverick Strengths
- ✓Open weights
- ✓400B MoE (17B active)
- ✓1M context
- ✓Strong multilingual
DeepSeek V3.1 Strengths
- ✓Incredible cost efficiency
- ✓Open weights
- ✓Top-tier math/coding
- ✓MoE architecture
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 V3.1
671B MoE model with only 37B active parameters. Open-weight, excels at math, coding, and Chinese language tasks.
View full details →❓ Frequently Asked Questions
Which is better, Llama 4 Maverick or DeepSeek V3.1?
It depends on your use case. Llama 4 Maverick (Meta) has a trending score of 90, while DeepSeek V3.1 (DeepSeek) scores 88. Check the comparison table above for detailed specs.
Is Llama 4 Maverick cheaper than DeepSeek V3.1?
See the pricing section above for current rates.
Can I use both Llama 4 Maverick and DeepSeek V3.1?
Yes! Many developers use multiple models for different tasks. You might use one for complex reasoning and another for high-volume, cost-sensitive workloads.