DeepSeek R1 (Reasoning) vs o1 (Reasoning)
Compare DeepSeek R1 (Reasoning) vs o1 (Reasoning) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
DeepSeek R1 (Reasoning) charges $0.55/1M input and $2.19/1M output tokens, compared to o1 (Reasoning) at $15.00/1M input and $60.00/1M output. DeepSeek R1 (Reasoning) is 27.3x cheaper on input tokens. In benchmark reasoning, o1 (Reasoning) holds the higher intelligence rating (98/100). For latency-critical streaming, DeepSeek R1 (Reasoning) delivers 65 t/s (650ms TTFT) while o1 (Reasoning) provides 45 t/s (1200ms TTFT).
Full Metric & Specification Comparison
| Metric | DeepSeek R1 (Reasoning) | o1 (Reasoning) | Advantage |
|---|---|---|---|
| Provider | DeepSeek | OpenAI | - |
| Input Token Cost (1M) | $0.550 | $15.000 | DeepSeek R1 (Reasoning) |
| Output Token Cost (1M) | $2.190 | $60.000 | DeepSeek R1 (Reasoning) |
| Context Window | 128k tokens | 200k tokens | o1 (Reasoning) |
| Intelligence Benchmark Score | 96/100 | 98/100 | o1 (Reasoning) |
| Streaming Latency | Moderate | Deliberate | - |
Key Architectural Takeaways
- Input Token Cost: DeepSeek R1 (Reasoning) is $0.55/1M vs o1 (Reasoning) at $15.00/1M
- Output Token Cost: DeepSeek R1 (Reasoning) is $2.19/1M vs o1 (Reasoning) at $60.00/1M
- Context Window: DeepSeek R1 (Reasoning) supports 128k tokens vs o1 (Reasoning) with 200k tokens
- Benchmark Intelligence Rating: DeepSeek R1 (Reasoning) scores 96/100 vs o1 (Reasoning) at 98/100
- Inference Latency: DeepSeek R1 (Reasoning) is rated Moderate vs o1 (Reasoning) rated Deliberate
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying DeepSeek R1 (Reasoning) over o1 (Reasoning) saves $650.33/mo ($7804/yr) at this volume.
Frequently Asked Questions
Is DeepSeek R1 (Reasoning) cheaper than o1 (Reasoning)?
DeepSeek R1 (Reasoning) is significantly more economical, charging $0.55/1M input compared to $15.00/1M for o1 (Reasoning).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose DeepSeek R1 (Reasoning). If you require peak reasoning accuracy and complex tool use, o1 (Reasoning) is recommended.
How does context window compare between DeepSeek R1 (Reasoning) and o1 (Reasoning)?
o1 (Reasoning) offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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