DeepSeek V3 vs o1 (Reasoning)
Compare DeepSeek V3 vs o1 (Reasoning) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
DeepSeek V3 charges $0.14/1M input and $0.28/1M output tokens, compared to o1 (Reasoning) at $15.00/1M input and $60.00/1M output. DeepSeek V3 is 107.1x cheaper on input tokens. In benchmark reasoning, o1 (Reasoning) holds the higher intelligence rating (98/100). For latency-critical streaming, DeepSeek V3 delivers 85 t/s (380ms TTFT) while o1 (Reasoning) provides 45 t/s (1200ms TTFT).
Full Metric & Specification Comparison
| Metric | DeepSeek V3 | o1 (Reasoning) | Advantage |
|---|---|---|---|
| Provider | DeepSeek | OpenAI | - |
| Input Token Cost (1M) | $0.140 | $15.000 | DeepSeek V3 |
| Output Token Cost (1M) | $0.280 | $60.000 | DeepSeek V3 |
| Context Window | 128k tokens | 200k tokens | o1 (Reasoning) |
| Intelligence Benchmark Score | 89/100 | 98/100 | o1 (Reasoning) |
| Streaming Latency | Fast | Deliberate | - |
Key Architectural Takeaways
- Input Token Cost: DeepSeek V3 is $0.14/1M vs o1 (Reasoning) at $15.00/1M
- Output Token Cost: DeepSeek V3 is $0.28/1M vs o1 (Reasoning) at $60.00/1M
- Context Window: DeepSeek V3 supports 128k tokens vs o1 (Reasoning) with 200k tokens
- Benchmark Intelligence Rating: DeepSeek V3 scores 89/100 vs o1 (Reasoning) at 98/100
- Inference Latency: DeepSeek V3 is rated Fast 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 V3 over o1 (Reasoning) saves $670.80/mo ($8050/yr) at this volume.
Frequently Asked Questions
Is DeepSeek V3 cheaper than o1 (Reasoning)?
DeepSeek V3 is significantly more economical, charging $0.14/1M 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 V3. If you require peak reasoning accuracy and complex tool use, o1 (Reasoning) is recommended.
How does context window compare between DeepSeek V3 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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