GPT-6 Luna vs GPT-5.4 Mini
Compare GPT-6 Luna vs GPT-5.4 Mini 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 GPT-5.4 Mini at $0.75/1M input and $4.50/1M output. GPT-6 Luna is 7.5x cheaper on input tokens. In reasoning benchmarks, GPT-6 Luna holds the higher AA Intelligence Index rating. For latency-critical streaming, GPT-6 Luna delivers 103 t/s (77.0s TTFT) while GPT-5.4 Mini provides 212 t/s (112.0s TTFT).
Full Metric & Specification Comparison
| Metric | GPT-6 Luna | GPT-5.4 Mini | Advantage |
|---|---|---|---|
| Provider | OpenAI | OpenAI | - |
| Input Token Cost (1M) | $0.100 | $0.750 | GPT-6 Luna |
| Output Token Cost (1M) | $0.500 | $4.500 | GPT-6 Luna |
| Context Window | 1,050k tokens | 400k tokens | GPT-6 Luna |
| AA Intelligence Index | 28/100 | Unrated | Unrated |
| Streaming Latency | Fast | Ultra-Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-6 Luna is $0.10/1M vs GPT-5.4 Mini at $0.75/1M
- Output Token Cost: GPT-6 Luna is $0.50/1M vs GPT-5.4 Mini at $4.50/1M
- Context Window: GPT-6 Luna supports 1,050k tokens vs GPT-5.4 Mini with 400k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: GPT-6 Luna is rated Fast vs GPT-5.4 Mini rated Ultra-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 GPT-6 Luna over GPT-5.4 Mini saves $39.75/mo ($477/yr) at this volume.
Frequently Asked Questions
Is GPT-6 Luna cheaper than GPT-5.4 Mini?
GPT-6 Luna is significantly more economical, charging $0.10/1M input compared to $0.75/1M for GPT-5.4 Mini.
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 GPT-5.4 Mini?
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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