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Gemini 2.5 Pro vs Llama 4 Maverick
Side-by-side comparison of specs, pricing, and capabilities
| Spec | 🌐 Gemini 2.5 Pro | 💬 Llama 4 Maverick |
|---|---|---|
| Provider | Meta | |
| Category | 🌐 Multimodal | 💬 Text Generation |
| Parameters | Undisclosed | 400B |
| Context Window | 1.0M tokens | 1.0M tokens |
| License | 🔒 proprietary | 🔓 open |
| Input Price | $1.25 | N/A |
| Output Price | $10 | N/A |
| API Available | ✅ | ✅ |
| Released | Mar 25, 2025 | Apr 5, 2025 |
| Trending Score | 🔥 93 | 🔥 90 |
Gemini 2.5 Pro Strengths
- ✓1M+ token context window
- ✓Native multimodal
- ✓Deep research mode
- ✓Competitive pricing
Llama 4 Maverick Strengths
- ✓Open weights
- ✓400B MoE (17B active)
- ✓1M context
- ✓Strong multilingual
About Gemini 2.5 Pro
Google's most capable model with 1M+ token context, native multimodal understanding, and deep research capabilities.
View full details →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 →❓ Frequently Asked Questions
Which is better, Gemini 2.5 Pro or Llama 4 Maverick?
It depends on your use case. Gemini 2.5 Pro (Google) has a trending score of 93, while Llama 4 Maverick (Meta) scores 90. Gemini 2.5 Pro costs $1.25 per 1M input tokens. Check the comparison table above for detailed specs.
Is Gemini 2.5 Pro cheaper than Llama 4 Maverick?
See the pricing section above for current rates.
Can I use both Gemini 2.5 Pro and Llama 4 Maverick?
Yes! Many developers use multiple models for different tasks. You might use one for complex reasoning and another for high-volume, cost-sensitive workloads.