GPT-6 Luna (batch)
OpenAI· released 22 Sept 2026
openai/gpt-6-luna:batch- Input / 1M tokens
- $0.05
- Output / 1M tokens
- $0.25
Longest answer: 128K tokens
About
GPT-6 Luna (batch) is OpenAI’s fast, cost-efficient model in the GPT-6 series, positioned below GPT-6 Sol. Its stated fit includes high-volume and latency-sensitive work such as chat, classification, and lightweight agentic workloads. It accepts file, image, and text inputs and returns text. The model supports vision, tools, and reasoning, with a 1,050,000-token context window and a 128,000-token maximum output. Input pricing is $0.05 per 1M tokens; output pricing is $0.25 per 1M tokens. It was released on September 22, 2026. The listed capabilities give teams several relevant integration details, including its accepted input types, tool support, and output format. The provided facts do not define its latency, throughput, or batch behavior beyond the model’s batch label.
Who it is for
It suits teams handling high-volume or latency-sensitive chat, classification, or lightweight agentic workloads. It may also fit stacks that need vision, tools, and reasoning alongside text output.
What is good
- Accepts file, image, and text inputs
- Supports vision, tools, and reasoning
- 1,050,000-token context window
- $0.05 per 1M input tokens
What to know first
- Text-only output
- Maximum output is 128,000 tokens
Verdict
GPT-6 Luna (batch) is positioned for high-volume and latency-sensitive workloads, with file and image inputs, tools, and reasoning support. Its listed prices are $0.05 per 1M input tokens and $0.25 per 1M output tokens.
Details
- Lab
- OpenAIopenrouter.ai · 3 Oct 2026
- Context
- 1,050Kopenrouter.ai · 3 Oct 2026
- Input price
- $0.05 / 1Mopenrouter.ai · 3 Oct 2026
- Output price
- $0.25 / 1Mopenrouter.ai · 3 Oct 2026
- Max output
- 128,000 tokensopenrouter.ai · 3 Oct 2026
- Inputs
- file, image, textopenrouter.ai · 3 Oct 2026
- Open weights
- Noopenrouter.ai · 3 Oct 2026
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Sources
- openrouter.ai/openai/gpt-6-luna:batch· checked 3 Oct 2026