---
title: GPT-6 Luna | Runware Docs
url: https://runware.ai/docs/models/openai-gpt-6-luna
description: Efficient reasoning model for focused, high-volume text and vision workloads
---
# GPT-6 Luna

![GPT-6 Luna](https://assets.runware.ai/covers/openai-gpt-6-luna.jpg)

GPT-6 Luna is OpenAI's efficient reasoning model for focused, high-volume workloads. It supports a 1,050,000-token context window, up to 128,000 output tokens, image understanding, structured outputs, function calling, and broad tool use through the Responses API. Configurable reasoning from none through max makes it a strong fit for classification, extraction, summarization, routing, workflow automation, and lightweight agent tasks.

- **Status**: compatible-only
- **ID**: `openai-gpt-6-luna`
- **Context window**: 1M context
- **Max output**: 128K output
- **Creator**: OpenAI
- **Release Date**: September 22, 2026
- **Capabilities**: Text to Text, Image to Text, Checkpoint

**GPT-6 Luna** is served through Runware's **compatible endpoints**, which take another provider's request format. Point the SDK you already use at Runware by changing the base URL and the API key, and set `model` to `openai:gpt@6-luna`.

Requests and responses keep the provider's format, so **its reference documents every parameter**.

| Endpoint | Format |
| --- | --- |
| `/v1/chat/completions` | [OpenAI Chat Completions](https://runware.ai/docs/tools/compatible-apis#openai-chat-completions) |
| `/v1/responses` | [OpenAI Responses](https://runware.ai/docs/tools/compatible-apis#openai-responses) |

### [Chat Completions](https://runware.ai/docs/models/openai-gpt-6-luna#chat-completions)

**cURL**:

```bash
curl -X POST https://api.runware.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai:gpt@6-luna",
    "messages": [{"role": "user", "content": "What is the capital of France?"}]
  }'
```

**Python**:

```python
from openai import OpenAI

client = OpenAI(
    api_key="your_runware_api_key",
    base_url="https://api.runware.ai/v1",
)

response = client.chat.completions.create(
    model="openai:gpt@6-luna",
    messages=[{"role": "user", "content": "What is the capital of France?"}],
)

print(response.choices[0].message.content)
```

**TypeScript**:

```typescript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your_runware_api_key',
  baseURL: 'https://api.runware.ai/v1',
});

const response = await client.chat.completions.create({
  model: 'openai:gpt@6-luna',
  messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

console.log(response.choices[0].message.content);
```

[Compatible APIs](https://runware.ai/docs/tools/compatible-apis#openai-chat-completions) covers streaming, tool calling and how the endpoint differs from OpenAI, and the [OpenAI API reference](https://platform.openai.com/docs/api-reference/chat/create) lists every parameter.

### [Responses](https://runware.ai/docs/models/openai-gpt-6-luna#responses)

**cURL**:

```bash
curl -X POST https://api.runware.ai/v1/responses \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai:gpt@6-luna",
    "input": "What is the capital of France?"
  }'
```

**Python**:

```python
from openai import OpenAI

client = OpenAI(
    api_key="your_runware_api_key",
    base_url="https://api.runware.ai/v1",
)

response = client.responses.create(
    model="openai:gpt@6-luna",
    input="What is the capital of France?",
)

print(response.output_text)
```

**TypeScript**:

```typescript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your_runware_api_key',
  baseURL: 'https://api.runware.ai/v1',
});

const response = await client.responses.create({
  model: 'openai:gpt@6-luna',
  input: 'What is the capital of France?',
});

console.log(response.output_text);
```

[Compatible APIs](https://runware.ai/docs/tools/compatible-apis#openai-responses) covers conversation state and function calls, and the [OpenAI API reference](https://platform.openai.com/docs/api-reference/responses/create) lists every parameter.

## Cost and speed

**Rates** (per 1M tokens)

*≤ 272K context*

- Input: `$0.10`
- Output: `$0.50`
- Cached input: `$0.01`
- Cache write: `$0.125`

*> 272K context*

- Input: `$0.20`
- Output: `$0.75`
- Cached input: `$0.02`
- Cache write: `$0.25`

billed per token, so a request costs what the model produced · [How pricing works](https://runware.ai/docs/models-api/pricing)