OpenAI: GPT-6 Luna (batch)openai
Bottom Line
OpenAI: GPT-6 Luna (batch): $0.05/1M input, $0.25/1M output, 1.1M context. GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
API Pricing (per 1M tokens)
| Input | $0.05 |
| Output | $0.25 |
| Cache Read | — |
| Cache Write | — |
| Blended (3:1) | $0.10 |
Specs & Performance
| Context Length | 1.1M |
| Max Output | 128K |
| Intelligence | — |
| Coding | — |
| Math | — |
| Speed | — |
| TTFT | — |
| CPS Grade | — |
| Input / Output Modalities | file, image, text → text |
More from openai
Looking for cheaper alternatives?
Find the cheapest model by task, or compare two models head-to-head.
FAQ
How much does the OpenAI: GPT-6 Luna (batch) API cost?
OpenAI: GPT-6 Luna (batch) costs $0.05/1M input tokens and $0.25/1M output tokens. Blended cost at a 3:1 ratio is about $0.10/1M tokens.
What is the context window of OpenAI: GPT-6 Luna (batch)?
OpenAI: GPT-6 Luna (batch) supports a 1.1M token context window with up to 128K output tokens.
Is OpenAI: GPT-6 Luna (batch) worth it?
OpenAI: GPT-6 Luna (batch) has a CPS grade of — (score —), intelligence index —, coding index —. Use the compare page to benchmark against rivals.