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o3 vs DeepSeek V3.1
Side-by-side comparison of specs, pricing, and capabilities
| Spec | 🧠 o3 | 🧠 DeepSeek V3.1 |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Category | 🧠 Reasoning | 🧠 Reasoning |
| Parameters | Undisclosed | 671B |
| Context Window | 200K tokens | 128K tokens |
| License | 🔒 proprietary | 🔓 open |
| Input Price | $10 | $0.27 |
| Output Price | $40 | $1.10 |
| API Available | ✅ | ✅ |
| Released | Apr 16, 2025 | Jun 1, 2025 |
| Trending Score | 🔥 91 | 🔥 88 |
o3 Strengths
- ✓Top-tier reasoning
- ✓PhD-level math/science
- ✓Strong at competitive coding
- ✓Deep analysis
DeepSeek V3.1 Strengths
- ✓Incredible cost efficiency
- ✓Open weights
- ✓Top-tier math/coding
- ✓MoE architecture
About o3
OpenAI's most powerful reasoning model. Uses chain-of-thought to solve complex math, science, and coding problems.
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, o3 or DeepSeek V3.1?
It depends on your use case. o3 (OpenAI) has a trending score of 91, while DeepSeek V3.1 (DeepSeek) scores 88. o3 costs $10 per 1M input tokens. Check the comparison table above for detailed specs.
Is o3 cheaper than DeepSeek V3.1?
o3 costs $10 input / $40 output per 1M tokens, while DeepSeek V3.1 costs $0.27 input / $1.10 output.
Can I use both o3 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.