Gemini 2.5 Pro vs DeepSeek R1
Side-by-side comparison of specs, pricing, and capabilities
| Spec | 🌐 Gemini 2.5 Pro | 🧠 DeepSeek R1 |
|---|---|---|
| Provider | DeepSeek | |
| Category | 🌐 Multimodal | 🧠 Reasoning |
| Parameters | Undisclosed | 671B |
| Context Window | 1.0M tokens | 128K tokens |
| License | 🔒 proprietary | 🔓 open |
| Input Price | $1.25 | $0.55 |
| Output Price | $10 | $2.19 |
| API Available | ✅ | ✅ |
| Released | Mar 25, 2025 | Jan 20, 2025 |
| Trending Score | 🔥 93 | 🔥 86 |
Gemini 2.5 Pro Strengths
- ✓1M+ token context window
- ✓Native multimodal
- ✓Deep research mode
- ✓Competitive pricing
DeepSeek R1 Strengths
- ✓Transparent reasoning chains
- ✓Strong at math/logic
- ✓Open weights
- ✓RL-trained
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 DeepSeek R1
Reasoning-specialized model trained with reinforcement learning. Shows chain-of-thought reasoning transparently.
View full details →❓ Frequently Asked Questions
Which is better, Gemini 2.5 Pro or DeepSeek R1?
It depends on your use case. Gemini 2.5 Pro (Google) has a trending score of 93, while DeepSeek R1 (DeepSeek) scores 86. 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 DeepSeek R1?
Gemini 2.5 Pro costs $1.25 input / $10 output per 1M tokens, while DeepSeek R1 costs $0.55 input / $2.19 output.
Can I use both Gemini 2.5 Pro 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.