DeepSeek V3 vs o3-mini (Reasoning)
Compare DeepSeek V3 vs o3-mini (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 o3-mini (Reasoning) at $1.10/1M input and $4.40/1M output. DeepSeek V3 is 7.9x cheaper on input tokens. In benchmark reasoning, o3-mini (Reasoning) holds the higher intelligence rating (93/100). For latency-critical streaming, DeepSeek V3 delivers 85 t/s (380ms TTFT) while o3-mini (Reasoning) provides 95 t/s (580ms TTFT).
Full Metric & Specification Comparison
| Metric | DeepSeek V3 | o3-mini (Reasoning) | Advantage |
|---|---|---|---|
| Provider | DeepSeek | OpenAI | - |
| Input Token Cost (1M) | $0.140 | $1.100 | DeepSeek V3 |
| Output Token Cost (1M) | $0.280 | $4.400 | DeepSeek V3 |
| Context Window | 128k tokens | 200k tokens | o3-mini (Reasoning) |
| Intelligence Benchmark Score | 89/100 | 93/100 | o3-mini (Reasoning) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: DeepSeek V3 is $0.14/1M vs o3-mini (Reasoning) at $1.10/1M
- Output Token Cost: DeepSeek V3 is $0.28/1M vs o3-mini (Reasoning) at $4.40/1M
- Context Window: DeepSeek V3 supports 128k tokens vs o3-mini (Reasoning) with 200k tokens
- Benchmark Intelligence Rating: DeepSeek V3 scores 89/100 vs o3-mini (Reasoning) at 93/100
- Inference Latency: DeepSeek V3 is rated Fast vs o3-mini (Reasoning) rated Fast
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 o3-mini (Reasoning) saves $45.30/mo ($544/yr) at this volume.
Frequently Asked Questions
Is DeepSeek V3 cheaper than o3-mini (Reasoning)?
DeepSeek V3 is significantly more economical, charging $0.14/1M input compared to $1.10/1M for o3-mini (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, o3-mini (Reasoning) is recommended.
How does context window compare between DeepSeek V3 and o3-mini (Reasoning)?
o3-mini (Reasoning) offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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