DeepSeek V3 vs GPT-4o (Omni)
Compare DeepSeek V3 vs GPT-4o (Omni) 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 GPT-4o (Omni) at $2.50/1M input and $10.00/1M output. DeepSeek V3 is 17.9x cheaper on input tokens. In benchmark reasoning, GPT-4o (Omni) holds the higher intelligence rating (92/100). For latency-critical streaming, DeepSeek V3 delivers 85 t/s (380ms TTFT) while GPT-4o (Omni) provides 90 t/s (420ms TTFT).
Full Metric & Specification Comparison
| Metric | DeepSeek V3 | GPT-4o (Omni) | Advantage |
|---|---|---|---|
| Provider | DeepSeek | OpenAI | - |
| Input Token Cost (1M) | $0.140 | $2.500 | DeepSeek V3 |
| Output Token Cost (1M) | $0.280 | $10.000 | DeepSeek V3 |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 89/100 | 92/100 | GPT-4o (Omni) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: DeepSeek V3 is $0.14/1M vs GPT-4o (Omni) at $2.50/1M
- Output Token Cost: DeepSeek V3 is $0.28/1M vs GPT-4o (Omni) at $10.00/1M
- Context Window: DeepSeek V3 supports 128k tokens vs GPT-4o (Omni) with 128k tokens
- Benchmark Intelligence Rating: DeepSeek V3 scores 89/100 vs GPT-4o (Omni) at 92/100
- Inference Latency: DeepSeek V3 is rated Fast vs GPT-4o (Omni) 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 GPT-4o (Omni) saves $108.30/mo ($1300/yr) at this volume.
Frequently Asked Questions
Is DeepSeek V3 cheaper than GPT-4o (Omni)?
DeepSeek V3 is significantly more economical, charging $0.14/1M input compared to $2.50/1M for GPT-4o (Omni).
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, GPT-4o (Omni) is recommended.
How does context window compare between DeepSeek V3 and GPT-4o (Omni)?
DeepSeek V3 offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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