2026 Technical Benchmark
DeepSeek-R1 vs OpenAI o3-mini: Open Weights vs Proprietary Reasoning
Comparing chain-of-thought verification, mathematical logic, code refactoring, and cost efficiency.
| Metric | DeepSeek-R1 | OpenAI o3-mini |
|---|---|---|
| Model Architecture | 671B MoE Open Weights | Proprietary Closed Reasoning API |
| Math Benchmark (AIME) | State-of-the-art competitive | Top-tier frontier score |
| Self-Hosting | Can be self-hosted via vLLM | API access only |
| API Token Cost | ~$0.55 / $2.19 per 1M tokens | ~$1.10 / $4.40 per 1M tokens |
| Best Suited For | Private enterprise inference & code | High-speed complex reasoning APIs |
◈ Architecture Recommendation
DeepSeek-R1 provides open-weights accessibility and cheap self-hosting; o3-mini leads in raw token speed.