GPT-6 Luna

GPT-6 Luna

Text Generation • OpenAI

openai/gpt-6-luna

Third-party

GPT-6 Luna is OpenAI's most efficient GPT-6 model, built for focused, high-volume tasks.

Model Info
Context Window ↗	1,050,000 tokens
Terms and License	link ↗
More information	link ↗
Request formats	Responses, Chat Completions
Pricing	<ul><li>Short-context input (per 1M)$0.10</li><li>Short-context cached input (per 1M)$0.01</li><li>Short-context cache write (per 1M)$0.125</li><li>Short-context output (per 1M)$0.50</li><li>Long-context input (per 1M)$0.20</li><li>Long-context cached input (per 1M)$0.02</li><li>Long-context cache write (per 1M)$0.25</li><li>Long-context output (per 1M)$0.75</li></ul>

Usage

const response = await env.AI.run(
  'openai/gpt-6-luna',
  {
    input:
      'A service has 99.9% monthly availability and just had 31 minutes of downtime. Has it exceeded the monthly error budget for a 30-day month? Show the calculation briefly.',
    max_output_tokens: 512,
    reasoning: { effort: 'high' },
  },
)
console.log(response)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/responses \
  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/gpt-6-luna",
  "input": "A service has 99.9% monthly availability and just had 31 minutes of downtime. Has it exceeded the monthly error budget for a 30-day month? Show the calculation briefly.",
  "max_output_tokens": 512,
  "reasoning": {
    "effort": "high"
  }
}'

No. A 30-day month has 43,200 minutes, so a 99.9% availability target allows **43.2 minutes** of downtime.

**31 minutes < 43.2 minutes** — the service is within its error budget, with **12.2 minutes** remaining.

{
  "id": "resp_0834f111f7f68c6e006ab2cf91391887d1b9ed77f9003d8001",
  "object": "response",
  "created_at": 1790103441,
  "status": "completed",
  "access_programs": {
    "cyber": "daybreak_blue"
  },
  "background": false,
  "billing": {
    "payer": "developer"
  },
  "completed_at": 1790103442,
  "error": null,
  "frequency_penalty": 0,
  "incomplete_details": null,
  "instructions": null,
  "max_output_tokens": 512,
  "max_tool_calls": null,
  "model": "gpt-6-luna",
  "moderation": null,
  "output": [
    {
      "id": "rs_0834f111f7f68c6e006ab2cf91a3dc87d194f310e59b05b545",
      "type": "reasoning",
      "content": [],
      "encrypted_content": "gAAAAABqss-TspJODH9IZcFL8SzWTp9z3qvEH482IoLj1OmrPlxluS5KGNZRrU1yGjrek9eQ7K6QzWND5RagCGsxWPN3ZK7lFfa8HWjztExHY-locYCrFDRWniTGdOmjF0dAUcm_5L5laGAhFa5qiRByPmSSapXvxyhbYx1Qs-_SjUxRF7rvxFIisGHm4XeHSuTMLUaVGk3okdDMWwxJDZrPjOk66JLwvZ_D8n345Iw6WG7L6iS30KsEhOuKVxkdkl0H_T_2fDaGxaJfOIr0WCSFjM62vvZNw6Gi9-zf8tzupmjORta_cLu9YDNSklYSNio-rUS-2RMlfJA1RvFQPKIx8347HtpYUYqHBNFRlNA-Az99fWBdGffyNtYL2vuItF4X0UJ1tDN_KtuFil7qLPJMGHTdXI7_-2YzNw9u-rmeeR9tnp3zbCertjlHMsTAcT0fbuLh_ob-GCDSg0pR8Ac5fsJv75nRqIMVixC_e7sL_5sGDAsJDi-24_nUAtU84zCPinglfdiYNvwBoEOgZQ-bYT8K3DZ-Z6dJaupCz_ncOtsFIvvEehM2JzcVdKkhUv6ilUst-J-RoMEzb3HzpKZE2Y6Ry3R-VDvLOda2HL-DrmbK4zW_o8X5-Yp5I-XXIomnt3yxMRYyH5WI66HkMQAFQtiP7ukmQEpI-_ItySu48cro2tpY3tBnRBJAvAU45yGDm9EhG6F_jThXyEav90yADc4GfJw82gZDzrnmQ0Oki8U0jEfPUipKztlsstiLw06Da5IF6cBxhOMiNq2TbB4j5o3bG48HSxAzwgu8xHHSR00_IWMEFO49l6lWpO9W0FWN9OdeaMKkRFQ8cGNIZCqDgYvkw3x0NlbOtjm_TqIQMRVM7vfsdujWSwb1iidy6BEYde7TVAmEg_D0jk7tq9JPIQIngvbxeWXpE2zmvEGrgDqD9y8d-dF2svsxMegzFpZjVowcWRPhJXcySYsMnPrIYqM8bCmXPhSXoBgmTqvWO8BCBJUPvRLPAkJSUU4JTI3GAsN4XAKVm-NaQghf4t5ofeZkIRx9sc1jkz1KfEZ_hH02_89s_A8u2GaiCREYGisKBd9ZuvtDu2WxzIsqud1YKqn9epw-ZC5zCkS0MfZW5rZGmBmu2K6Zia2swsBgs3mypZPh4ihYkkeuAxs_eX1nFtCW-tdYGFcCKVRBf3tvbA2XRgcfgNr9LH6kmbWSBM53kjxLI5L6hR-CDBJ9lWuWoal1R3GzWL9-uIbU4i4ailowQwcgQ2o8Lnnq_jZTs-yurDDyThIVKeo_ZkrmniqyReoVlwYZYRWKaKsSV6i95J-GosOjqM4BoVZGB0tvebNbEOz4tGzKPmoDFI6ckl4Jede1l3dYWAobbPgGab7pp4QgmerdWhiIyK2-kRrDsocrazxjIv0hEqOZha1jwN_cWqmfPTgfmv7jIHZ9Be0S8xrQdd11Qwwyik1OPyJlYte3Ru1IO6FDcCRNbAE3yFBE9pSU8kOKIg==",
      "summary": []
    },
    {
      "id": "msg_0834f111f7f68c6e006ab2cf925fd487d1b67ccd2ee1e2dfe5",
      "type": "message",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "annotations": [],
          "logprobs": [],
          "text": "No. A 30-day month has 43,200 minutes, so a 99.9% availability target allows **43.2 minutes** of downtime.\n\n**31 minutes < 43.2 minutes** — the service is within its error budget, with **12.2 minutes** remaining."
        }
      ],
      "phase": "final_answer",
      "role": "assistant"
    }
  ],
  "parallel_tool_calls": true,
  "presence_penalty": 0,
  "previous_response_id": null,
  "prompt_cache_key": null,
  "prompt_cache_retention": "24h",
  "reasoning": {
    "context": "all_turns",
    "effort": "high",
    "mode": "standard",
    "summary": null
  },
  "safety_identifier": null,
  "service_tier": "default",
  "store": true,
  "temperature": 1,
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "medium"
  },
  "tool_choice": "auto",
  "tool_usage": {
    "image_gen": {
      "input_tokens": 0,
      "input_tokens_details": {
        "image_tokens": 0,
        "text_tokens": 0
      },
      "output_tokens": 0,
      "output_tokens_details": {
        "image_tokens": 0,
        "text_tokens": 0
      },
      "total_tokens": 0
    },
    "web_search": {
      "num_requests": 0
    }
  },
  "tools": [],
  "top_logprobs": 0,
  "top_p": 0.98,
  "truncation": "disabled",
  "usage": {
    "input_tokens": 44,
    "input_tokens_details": {
      "cache_write_tokens": 0,
      "cached_tokens": 0
    },
    "output_tokens": 151,
    "output_tokens_details": {
      "reasoning_tokens": 84
    },
    "total_tokens": 195
  },
  "user": null,
  "metadata": {}
}

Examples

<summary>Migration Safeguards — Generate a concise answer through Chat Completions</summary>

const response = await env.AI.run(
  'openai/gpt-6-luna',
  {
    messages: [
      { role: 'user', content: 'List three practical safeguards for a production API migration.' },
    ],
    max_completion_tokens: 256,
  },
)
console.log(response)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions \
  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/gpt-6-luna",
  "messages": [
    {
      "role": "user",
      "content": "List three practical safeguards for a production API migration."
    }
  ],
  "max_completion_tokens": 256
}'

1. **Preserve compatibility:** Version the API or support old and new contracts during the transition; document breaking changes and give clients a migration window.
2. **Roll out gradually:** Test in staging, then use a canary or percentage-based rollout with monitoring for errors, latency, and client failures.
3. **Plan validation and rollback:** Verify key workflows and data before and after cutover, keep backups or a reversible migration path, and define clear rollback triggers.

{
  "id": "chatcmpl-EQzy7Or5tZ9ZdoXfjhVAYfwDEj28S",
  "object": "chat.completion",
  "created": 1790103443,
  "model": "gpt-6-luna",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "1. **Preserve compatibility:** Version the API or support old and new contracts during the transition; document breaking changes and give clients a migration window.\n2. **Roll out gradually:** Test in staging, then use a canary or percentage-based rollout with monitoring for errors, latency, and client failures.\n3. **Plan validation and rollback:** Verify key workflows and data before and after cutover, keep backups or a reversible migration path, and define clear rollback triggers.",
        "refusal": null,
        "annotations": []
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 16,
    "completion_tokens": 128,
    "total_tokens": 144,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0,
      "audio_tokens": 0
    },
    "completion_tokens_details": {
      "reasoning_tokens": 25,
      "audio_tokens": 0,
      "accepted_prediction_tokens": 0,
      "rejected_prediction_tokens": 0
    }
  },
  "service_tier": "default",
  "system_fingerprint": null
}

</details>

Parameters

Schema variant

ResponsesChat Completions

▶input

one ofrequired

instructions

string

temperature

numberminimum: 0maximum: 2

max_output_tokens

numberexclusiveMinimum: 0

top_p

numberminimum: 0maximum: 1

stream

boolean

▶tools[]

array

tool_choice

▶text{}

object

▶reasoning{}

object

▶messages[]

arrayrequired

temperature

numberminimum: 0maximum: 2

max_tokens

numberexclusiveMinimum: 0

max_completion_tokens

numberexclusiveMinimum: 0

top_p

numberminimum: 0maximum: 1

frequency_penalty

numberminimum: -2maximum: 2

presence_penalty

numberminimum: -2maximum: 2

stream

boolean

▶stream_options{}

object

▶tools[]

array

tool_choice

response_format

▶modalities[]

array

▶audio{}

object

reasoning_effort

stringOptional reasoning control; availability and accepted values are model-dependent.

string

object

stringconst: response

created_at

number

model

string

▶output[]

array

output_text

string

status

stringenum: in_progress, completed, failed, incomplete

▶usage{}

object

string

object

string

created

number

model

string

▶choices[]

array

▶usage{}

object

API Schemas (Raw)

Input Open Download

Output Open Download

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description: GPT-6 Sol is OpenAI's mid-tier GPT-6 model, built to power complex coding and agentic workflows. title: GPT-6 Sol image: https://developers.cloudflare.com/og-docs.png

Documentation Index
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Use this file to discover all available pages before exploring further.

GPT-6 Luna

GPT-6 Luna

Usage

Examples

Parameters

API Schemas (Raw)

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