GPT-6 Luna
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
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Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 80.75 | Fast | $0.0040 | |
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 80.25 | Fast | $0.0040 | |
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 73.25 | Blazing Fast | $0.0040 | |
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 73.25 | Fast | $0.0040 | |
Google | 1M | 65K | 2025-01 | $0.10 | $0.01 | $0.40 | 71.5 | Blazing Fast | $0.0032 |
Provider
Benchmark
80.75Speed
Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
80.25Speed
Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
73.25Speed
Blazing Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
73.25Speed
Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
71.5Speed
Blazing Fast
Training Cutoff
2025-01
Context Window
1M
Max Output
65K
Input / 1M
$0.10
Cache Price / 1M
$0.01
Output / 1M
$0.40
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Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.
GPT-6 Luna Frequently Asked Questions (FAQ)
Key insights into GPT-6 Luna API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for GPT-6 Luna? How much does it cost per 1M tokens?＋
GPT-6 Luna (OpenAI) is priced at $0.1000 per 1 million input tokens and $0.5000 per 1 million output tokens. The output rate is approximately 5.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. What are the context window and maximum output limits of GPT-6 Luna?＋
GPT-6 Luna features a 1M context window and a maximum output limit of 128K tokens per request. This massive 1M+ context capacity allows you to process extensive document libraries or entire codebases in a single prompt.
Q. Does GPT-6 Luna support Prompt Caching, and how much cost can be saved?＋
Yes, GPT-6 Luna supports prompt caching. Cached reads cost $0.0100 per 1M tokens, delivering an estimated 90% discount compared to standard input rates. (Minimum cache threshold: 1K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.
Q. What is the benchmark score (89.5) and performance profile of GPT-6 Luna?＋
GPT-6 Luna achieves an overall benchmark score of 89.5/100 with a "Blazing Fast" speed rating. It strikes an optimal tradeoff between high analytical capability, speed, and affordability.
Q. Which alternative models are comparable to GPT-6 Luna?＋
Key alternatives in similar price-to-performance tiers include grok-4-1-fast-reasoning, grok-4-fast-reasoning, grok-4-1-fast-non-reasoning. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.