Model Details
Where is GPT-6 Luna a perfect fit?
- High-volume classification and extraction
- Customer support and conversational applications
- Cost-sensitive agents
- Routine coding and software engineering
- Lightweight-to-moderate agentic workflows
- Long-context document processing
- Computer-use workflows
- Tool-calling applications
- High-throughput enterprise automation
- Complex reasoning when higher effort is enabled
OpenAI describes Luna as the most efficient GPT-6 model, targeting focused, high-volume workloads. At higher reasoning effort, it can handle substantially more demanding coding and computer-use tasks; OpenAI reports GPT-6 Luna at max effort scoring 66.6% on DeepSWE v1.1.
GPT-6 Luna is the cost- and throughput-oriented member of the GPT-6 family. Compared with GPT-6 Astra and GPT-6 Sol, it is designed to make capable reasoning economical enough for large-scale, repetitive workloads, while still offering the full GPT-6 tool ecosystem.
Quick Model Estimate
Your GPT-6 Luna Cost Estimate
💰 Total Cost
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for 1000 input + 1000 output tokens
Cost Breakdown
Prices are watched for changes and checked against the provider's own page.
Pricing
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 OpenAI | Text | Standard | $0.1000 | $0.5000 | $0.0100 | $0.1250 | Up to 272,000 tokens | → |
| OpenAI | Text | Standard | $0.2000 | $0.7500 | $0.0200 | $0.2500 | 272,000+ tokens | → |
| OpenAI | Text | Batch | $0.0500 | $0.2500 | $0.0050 | $0.0625 | Up to 272,000 tokens | → |
| OpenAI | Text | Batch | $0.1000 | $0.3750 | $0.0100 | $0.1250 | 272,000+ tokens | → |
| OpenAI | Text | Flex | $0.0500 | $0.2500 | $0.0050 | $0.0625 | Up to 272,000 tokens | → |
| OpenAI | Text | Flex | $0.1000 | $0.3750 | $0.0100 | $0.1250 | 272,000+ tokens | → |
| OpenAI | Text | Priority | $0.2000 | $1.0000 | $0.0200 | $0.2500 | Up to 272,000 tokens | → |
| OpenAI | Text | Priority | $0.4000 | $1.5000 | $0.0400 | $0.5000 | 272,000+ tokens | → |
Benchmarks
Scores from standardized evaluations by Artificial Analysis and Design Arena. Higher is better — the indices summarize overall ability, while the detailed scores break down performance on individual benchmarks.
Artificial Analysis
Higher is better · benchmarked by Artificial AnalysisExpert-level questions across many academic domains
Unpublished physics research reasoning problems
Long-context reasoning across large inputs
Research-level scientific coding tasks
Economically valuable, real-world knowledge work
Breadth of factual knowledge across domains
How reliably the model avoids fabricated answers
| Variant | Humanity's Last Exam | AA-LCR | SciCode | CritPt | GDPval | Omniscience Accuracy | Omniscience Non-Hallucination |
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| GPT-6 Luna (Max) | 38.5% | 83.3% | 54.6% | 19.4% | 46.6% | 43.8% | 23.3% |
| GPT-6 Luna (Xhigh) | 34.3% | 80% | 51.7% | 17.4% | 43.2% | 44.2% | 17.6% |
| GPT-6 Luna (High) | 32.9% | 79.3% | 50.3% | 15.4% | 42.1% | 42.8% | 15.6% |
| GPT-6 Luna (Medium) | 28.3% | 78.3% | 50.9% | 10.6% | 38.1% | 43.1% | 15.3% |
| GPT-6 Luna (Low) | 20.3% | 74% | 46.9% | 2.6% | 26.6% | 40.8% | 15.7% |
| GPT-6 Luna (Non-reasoning) | 8.6% | 39.7% | 43.1% | 1.1% | 27.2% | 31.9% | 21.1% |
Compare GPT-6 Luna with
Two models side by side: worked costs, every rate, and every benchmark figure both of them report.
Other Models in the GPT-6 Family
FAQs about GPT-6 Luna
How much does GPT-6 Luna cost per 1M tokens?
GPT-6 Luna costs between $0.05 and $0.40 per million input tokens, and between $0.25 and $1.50 per million output tokens. The range covers Standard, Batch, Flex and Priority pricing.
What does a typical workload cost with GPT-6 Luna?
1,000 requests of 2,000 input and 500 output tokens each — 2,000,000 input and 500,000 output tokens in total — costs $0.225 with GPT-6 Luna at its lowest rates. Use the calculator on this page for your own volumes.
Where can I use GPT-6 Luna?
GPT-6 Luna is available through OpenAI, from $0.05 per million input tokens.
Is there cheaper GPT-6 Luna pricing than the standard rate?
Yes. Batch pricing for GPT-6 Luna starts at $0.05 per million input tokens against $0.10 on the standard tier, about 50% lower.
What is GPT-6 Luna's context window?
GPT-6 Luna has a context window of 1,050,000 tokens, and returns up to 128,000 tokens in a single response.
What input types does GPT-6 Luna support?
GPT-6 Luna accepts text, image and file input, and returns text.
What is GPT-6 Luna's knowledge cutoff?
GPT-6 Luna's training data runs to 18 May 2026. It has no built-in knowledge of events after that date.