GPT-6 Luna

openai/gpt-6-luna

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...

InputFileImageText
OutputText
Input / Outputclub$0.106 / $0.53per 1M tokens · USD
Context window1.1Mtoken
Maximum output128Ktoken

Pricing

Current model usage rates. Choose your plan to see its published prices.

Pricing
UsagePricing
InputUS$0.106/ 1M token
InputInput length ≥ 272,001 tokensUS$0.212/ 1M token
Cache readUS$0.0106/ 1M token
Cache readInput length ≥ 272,001 tokensUS$0.0212/ 1M token
Cache writeUS$0.1325/ 1M token
Cache writeInput length ≥ 272,001 tokensUS$0.265/ 1M token
OutputUS$0.53/ 1M token
OutputInput length ≥ 272,001 tokensUS$0.795/ 1M token

Membership and model usage are billed separately. Compare plans

Capabilities

Input
FileImageText
Output
Text
Context window
1,050,000 token
Maximum output
128,000 token
Reasoning
max · xhigh · high · medium · low · none

Providers

Model supply available through Vecbase.

Via OpenRouter

Access is subject to your account’s permissions and model availability.

Frequently asked questions

What is GPT-6 Luna, and who develops it?

GPT-6 Luna is a model from OpenAI. Its model ID on Vecbase is openai/gpt-6-luna. 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...

How much does GPT-6 Luna cost on Vecbase?

For GPT-6 Luna, the Club plan lists USD 0.106 per 1 million input tokens and USD 0.53 per 1 million output tokens, as of 10/22/2026, 9:28:00 PM UTC. See the pricing table for cache rates, input-length tiers and other usage types. Membership fees are separate.

How many tokens fit in GPT-6 Luna’s context window?

GPT-6 Luna has a context window of 1,050,000 tokens. Input and output must fit within the limits of the API you use.

What is the maximum output length for GPT-6 Luna?

GPT-6 Luna can generate up to 128,000 tokens per response. Your API or request settings may set a lower limit.

Can GPT-6 Luna call tools in an agent workflow?

Yes. GPT-6 Luna supports tool calling. Your application provides the tool definitions and runs the tools the model requests.

Does GPT-6 Luna support structured outputs?

Yes. GPT-6 Luna supports structured output. Set the required format in your API request and check the returned data before using it.

Which input and output formats does GPT-6 Luna support?

GPT-6 Luna accepts File, Image, and Text and produces Text.

Which providers make GPT-6 Luna available through Vecbase?

Vecbase offers GPT-6 Luna through OpenRouter. Availability may vary by provider.

Which model ID should an agent use to request GPT-6 Luna?

Use openai/gpt-6-luna as the model identifier for GPT-6 Luna. See Vecbase’s API documentation for authentication, required inputs and supported request formats.

Which reasoning settings are listed for GPT-6 Luna?

GPT-6 Luna supports these reasoning levels: max, xhigh, high, medium, low, and none. Available options depend on your API.

What does an agent need to access GPT-6 Luna through Vecbase?

To use GPT-6 Luna, you need an authenticated account with the required permissions, sufficient balance and the relevant capability enabled. See the documentation for setup.

Is a release date available for GPT-6 Luna?

We do not yet have a confirmed release date for GPT-6 Luna.

Which models can I compare with GPT-6 Luna on Vecbase?

You can compare GPT-6 Luna with GPT Mini Latest (openai/gpt-mini-latest), GPT-5.5 (openai/gpt-5.5), and GPT-5.6 Luna (openai/gpt-5.6-luna). Check their capabilities and prices to find the best fit for your task.