GPT-6 Luna vs DeepSeek V4 Pro
Compare GPT-6 Luna vs DeepSeek V4 Pro API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-6 Luna charges $0.10/1M input and $0.50/1M output tokens, compared to DeepSeek V4 Pro at $0.66/1M input and $1.98/1M output. GPT-6 Luna is 6.6x cheaper on input tokens. In reasoning benchmarks, GPT-6 Luna holds the higher AA Intelligence Index rating (28/100). For latency-critical streaming, GPT-6 Luna delivers 103 t/s (77.0s TTFT) while DeepSeek V4 Pro provides 80 t/s (59.0s TTFT).
Full Metric & Specification Comparison
| Metric | GPT-6 Luna | DeepSeek V4 Pro | Advantage |
|---|---|---|---|
| Provider | OpenAI | DeepSeek | - |
| Input Token Cost (1M) | $0.100 | $0.660 | GPT-6 Luna |
| Output Token Cost (1M) | $0.500 | $1.980 | GPT-6 Luna |
| Context Window | 1,050k tokens | 1,000k tokens | GPT-6 Luna |
| AA Intelligence Index | 28/100 | 23/100 | GPT-6 Luna |
| Streaming Latency | Fast | Moderate | - |
Key Architectural Takeaways
- Input Token Cost: GPT-6 Luna is $0.10/1M vs DeepSeek V4 Pro at $0.66/1M
- Output Token Cost: GPT-6 Luna is $0.50/1M vs DeepSeek V4 Pro at $1.98/1M
- Context Window: GPT-6 Luna supports 1,050k tokens vs DeepSeek V4 Pro with 1,000k tokens
- Benchmark Intelligence Rating: GPT-6 Luna scores 28/100 vs DeepSeek V4 Pro at 23/100 (AA Index v5)
- Inference Latency: GPT-6 Luna is rated Fast vs DeepSeek V4 Pro rated Moderate
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying GPT-6 Luna over DeepSeek V4 Pro saves $19.50/mo ($234/yr) at this volume.
Frequently Asked Questions
Is GPT-6 Luna cheaper than DeepSeek V4 Pro?
GPT-6 Luna is significantly more economical, charging $0.10/1M input compared to $0.66/1M for DeepSeek V4 Pro.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose GPT-6 Luna. If you require peak reasoning accuracy and complex tool use, GPT-6 Luna is recommended.
How does context window compare between GPT-6 Luna and DeepSeek V4 Pro?
GPT-6 Luna offers the larger context window (1,050k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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