# GPT-6 Luna Pro

Canonical page: https://agentsky.dev/models/openai/gpt-6-luna-pro
JSON record: https://gateway.agentsky.dev/v1/models/openai/gpt-6-luna-pro

GPT-6 Luna Pro is a file and image and text-input model by OpenAI, available through the AgentSky API as openai/gpt-6-luna-pro at $0.11605 per million input tokens and $0.58025 per million output tokens, with a 1.1M context window.

GPT-6 Luna Pro

## Facts

- **Model id:** `openai/gpt-6-luna-pro`
- **Maker:** OpenAI
- **Input modalities:** File, Image, Text
- **Context:** 1.1M
- **Max output tokens:** 128,000
- **Aliases:** `openai/gpt-6-luna-pro`, `gpt-6-luna-pro`

## Pricing

USD per million tokens on the default plan. Signed-in pages show your own plan's price; every response carries the cost of that call in `usage.cost`.

| Input context (tokens) | Cache mode | Thinking | Input | Output | Cache read | Cache write |
|---|---|---|---|---|---|---|
| Up to 271,999 | default | default | $0.11605 | $0.58025 | $0.011605 | $0.145063 |
| Up to 1,050,000 | default | default | $0.2321 | $0.870375 | $0.02321 | $0.290125 |

## Use it

Anthropic wire base URL: `https://gateway.agentsky.dev`. OpenAI wire base URL: `https://gateway.agentsky.dev/v1`. Authenticate with an AgentSky API key (`ast_…`) and pass the model id.

### OpenAI SDK

```js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.agentsky.dev/v1",
  apiKey: process.env.AGENTSKY_API_KEY, // ast_…
});

const completion = await client.chat.completions.create({
  model: "openai/gpt-6-luna-pro",
  messages: [{ role: "user", content: "Summarise this ticket." }],
});
console.log(completion.usage.cost); // USD, in the response
```

### Codex

```bash
export OPENAI_BASE_URL="https://gateway.agentsky.dev/v1"
export OPENAI_API_KEY="$AGENTSKY_API_KEY"

codex --model openai/gpt-6-luna-pro
```

### OpenCode

```js
// opencode.json — then switch models any time with /models
{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "agentsky": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "AgentSky",
      "options": {
        "baseURL": "https://gateway.agentsky.dev/v1",
        "apiKey": "{env:AGENTSKY_API_KEY}"
      },
      "models": { "openai/gpt-6-luna-pro": {} }
    }
  }
}
```

## Questions

### What is GPT-6 Luna Pro?

GPT-6 Luna Pro is a model from OpenAI. GPT-6 Luna Pro

### How much does GPT-6 Luna Pro cost?

$0.11605 / $0.58025 per million tokens at the prices shown, for input and output respectively. The exact price of every call comes back in the response as usage.cost, so you never have to compute it.

### What is the context length of GPT-6 Luna Pro?

1.1M tokens, and it writes up to 128K tokens in one reply. These are the limits listed for this model in the current AgentSky catalog.

### Which clients can call GPT-6 Luna Pro?

Anything that speaks the OpenAI-compatible request format. Point the client's base URL at the gateway, use an AgentSky key, and pass openai/gpt-6-luna-pro as the model.

### How do I name GPT-6 Luna Pro in a request?

The gateway accepts openai/gpt-6-luna-pro, gpt-6-luna-pro. Any of them resolves to the same model, so an existing integration usually needs no change to its model string.

### Can GPT-6 Luna Pro read images?

Yes. Its listed input types are file, image, text. Include the image with your request; image input does not imply image generation.

### What output can GPT-6 Luna Pro produce?

The listed output types are text. This model returns text. Producing image, video or audio files requires a suitable tool or another model; it is not included in text generation.

### How should I plan a long prompt for GPT-6 Luna Pro?

Plan your instructions, conversation history and source material around the 1.1M-token context limit, leaving room for the response. The listed response ceiling is 128K tokens. A larger window lets you supply more relevant material; it does not make unrelated content useful.

### What would 10,000 input tokens and 2,000 output tokens cost with GPT-6 Luna Pro?

At the displayed input and output rates, the model-token subtotal is $0.002321. This example assumes uncached input and excludes additional pricing categories, tool calls and agent runtime. Actual usage determines the final charge.

### How is cached input priced for GPT-6 Luna Pro?

The catalog lists $0.011605 per million cache-read tokens. Cache writes are listed at $0.145063 per million tokens. Repeating a prompt does not by itself guarantee a cache hit; only usage reported as cached receives that rate.

### Does the GPT-6 Luna Pro token price cover an entire agent task?

No. The model price covers the model usage described above. A task can also incur tool and runtime charges, and several model calls may be needed to complete it. Compare total task usage when evaluating cost.

### How do I use GPT-6 Luna Pro on AgentSky?

The composer above preselects GPT-6 Luna Pro for a compatible agent. Enter a concrete task, select any tools or connectors it needs, and send. Sign in if prompted; paid execution requires available credits.