{
  "id": "gpt-5.6-luna",
  "language": "ro",
  "url": "https://alexgetman.com/ro/models/openai/gpt-5-6-luna/",
  "name": "GPT-5.6 Luna",
  "model_identity": {
    "id": "gpt-5.6-luna",
    "name": "GPT-5.6 Luna",
    "maker": {
      "id": "openai",
      "name": "OpenAI"
    },
    "version": "5.6",
    "checkpoint": null,
    "first_seen_at": "2026-07-30T19:11:33.858Z"
  },
  "catalogue_section": "main",
  "stage": "released",
  "expectation": {
    "state": "released",
    "last_evidence_at": "2026-11-12T18:45:20.401Z",
    "related_model_id": null,
    "evidence": [],
    "claims": [
      {
        "reference": "post:133",
        "outcome": "unresolved"
      },
      {
        "reference": "post:137",
        "outcome": "unresolved"
      },
      {
        "reference": "post:142",
        "outcome": "unresolved"
      },
      {
        "reference": "post:156",
        "outcome": "unresolved"
      },
      {
        "reference": "post:159",
        "outcome": "unresolved"
      },
      {
        "reference": "post:188",
        "outcome": "unresolved"
      },
      {
        "reference": "post:364",
        "outcome": "unresolved"
      },
      {
        "reference": "post:440",
        "outcome": "unresolved"
      },
      {
        "reference": "record:openai-chatgpt-release-notes:2026-08-06:updates-to-gpt-5-6-in-chatgpt:gpt-5.6-luna",
        "outcome": "unresolved"
      },
      {
        "reference": "code:github:openai/openai-agents-js:models:gpt-5.6-luna",
        "outcome": "confirmed"
      },
      {
        "reference": "code:github:openai/openai-python:models:gpt-5.6-luna",
        "outcome": "confirmed"
      },
      {
        "reference": "code:github:openai/openai-agents-python:models:gpt-5.6-luna",
        "outcome": "unresolved"
      },
      {
        "reference": "code:github:openai/codex:models:gpt-5.6-luna:Production",
        "outcome": "confirmed"
      },
      {
        "reference": "code:github:openai/codex:models:gpt-5.6-luna:Test",
        "outcome": "unresolved"
      },
      {
        "reference": "code:github:openai/openai-agents-python:models:gpt-5.6-luna:Production:0a60662c38f8e19317ff256f3f85415ef13ee9c0f90a4448d8c8568c6b42b54f",
        "outcome": "confirmed"
      },
      {
        "reference": "code:github:openai/openai-node:models:gpt-5.6-luna:Production:3caac2245c217945668a0718b72fcf2d94d5cb6a0e8fd650066a546eebc157d4",
        "outcome": "confirmed"
      },
      {
        "reference": "record:openai-articles:https://openai.com/index/ringg:usage:gpt-5.6-luna",
        "outcome": "related"
      },
      {
        "reference": "record:openai-articles:https://openai.com/index/how-we-detect-frontier-model-misalignment:usage:gpt-5.6-luna",
        "outcome": "related"
      }
    ]
  },
  "watch_presentation": {
    "placement": "expected",
    "family": {
      "key": "openai:gpt-luna",
      "name": "GPT Luna"
    }
  },
  "observations": [],
  "timeline": [
    {
      "reference": "post:133",
      "kind": "editorial_mention",
      "at": "2026-07-30T19:11:33.858Z",
      "event_at": {
        "precision": "time",
        "value": "2026-07-30T19:11:33.858Z"
      },
      "historical": false,
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/133/using-gpt-5-6-luna-max-you-get-the-power-of-march-s-flagship-gpt-5-4-xhigh-for-o/",
      "quote": "Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.",
      "co_mentions": [
        "gpt-5.4",
        "gpt-5"
      ]
    },
    {
      "reference": "post:137",
      "kind": "editorial_mention",
      "at": "2026-07-31T11:26:38.354Z",
      "event_at": {
        "precision": "time",
        "value": "2026-07-31T11:26:38.354Z"
      },
      "historical": false,
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/137/yesterday-gpt-5-6-luna-pushed-the-pareto-frontier-for-intelligence-and-cost-toda/",
      "quote": "Yesterday GPT 5.6 Luna pushed the Pareto frontier for intelligence and cost. Today DeepSeek V4 Flash did it again and pushed it even further.",
      "co_mentions": [
        "deepseek-v4-flash",
        "gpt-5"
      ]
    },
    {
      "reference": "post:142",
      "kind": "editorial_mention",
      "at": "2026-08-03T08:01:30.947Z",
      "event_at": {
        "precision": "time",
        "value": "2026-08-03T08:01:30.947Z"
      },
      "historical": false,
      "report_intent": "incidental",
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/142/alibaba-released-qwen-3-8-max/",
      "quote": "⚡️ Alibaba released Qwen 3.8 Max\n\nThe new 2.4T parameter flagship benchmarks in the same league as GPT-5.6 Sol, Claude Opus 4.8 and Fable 5.\n\nAPI pricing is $2/M input and $6/M output, roughly half the cost of GPT-5.6 Terra and Claude Sonnet.\n\nNow it’s up to users to see whether Qwen can beat DeepSeek-V4-Flash and GPT-5.6 Luna on price to performance.",
      "co_mentions": [
        "claude-opus-4-8",
        "deepseek-v4-flash",
        "gpt-5.6-sol",
        "gpt-5.6-terra",
        "qwen3.8-max",
        "gpt-5"
      ]
    },
    {
      "reference": "post:156",
      "kind": "editorial_mention",
      "at": "2026-08-06T18:04:23.617Z",
      "event_at": {
        "precision": "time",
        "value": "2026-08-06T18:04:23.617Z"
      },
      "historical": false,
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/156/gpt-5-6-luna-is-becoming-the-default-model-for-chatgpt-free-and-go-users/",
      "quote": "⚡️ GPT 5.6 Luna is becoming the default model for ChatGPT Free and Go users\n\nStarting next week, it will also come with unlimited text chats and a new Think button for harder questions.",
      "co_mentions": [
        "gpt-5"
      ]
    },
    {
      "reference": "post:159",
      "kind": "editorial_mention",
      "at": "2026-08-07T16:45:42.557Z",
      "event_at": {
        "precision": "time",
        "value": "2026-08-07T16:45:42.557Z"
      },
      "historical": false,
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/159/over-the-last-three-days-i-burned-through-a-billion-tokens-using-gpt-5-6-luna/",
      "quote": "Over the last few days, I burned through around 1.5 billion tokens using GPT-5.6 Luna.\n\nAt first, I ran it on Max reasoning because that’s what everyone was recommending. Later I switched to xHigh. Max costs about twice as much as xHigh and, from what I can tell, also takes about twice as long to think.\n\nMy main takeaway is that the model is genuinely very good.\n\nFor short and medium tasks, I often had Claude Opus 5 double check Luna’s work, and most of the time it agreed with the result.\n\nLonger tasks are a different story. Luna can overthink things, lose track of what it was doing at the beginning, handle the middle well, and then fail to finish the last part properly. On these longer task",
      "co_mentions": [
        "claude-opus-5",
        "gpt-5"
      ]
    },
    {
      "reference": "post:188",
      "kind": "editorial_mention",
      "at": "2026-08-15T19:51:07.215Z",
      "event_at": {
        "precision": "time",
        "value": "2026-08-15T19:51:07.215Z"
      },
      "historical": false,
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/188/gpt-5-6-luna-is-now-a-native-subagent/",
      "quote": "GPT 5.6 Luna is now a native subagent\n\nIt can now work alongside Sol and Terra. Until now, Luna was on the previous subagent system, so users had to rely on workarounds to plug it in.",
      "co_mentions": [
        "gpt-5"
      ]
    },
    {
      "reference": "post:364",
      "kind": "editorial_mention",
      "at": "2026-08-28T17:28:09.647Z",
      "event_at": {
        "precision": "time",
        "value": "2026-08-28T17:28:09.647Z"
      },
      "historical": false,
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/364/openai-added-luna-reserve-after-you-hit-your-usage-limits/",
      "quote": "⚡️ OpenAI added Luna Reserve after you hit your usage limits\n\nThe official docs now mention Luna Reserve. Selected Plus and Pro accounts can keep working in Codex and ChatGPT Work with GPT 5.6 Luna after hitting their regular usage limit. Luna Reserve has its own separate limit and isn't available to everyone yet.",
      "co_mentions": [
        "gpt-5"
      ]
    },
    {
      "reference": "post:440",
      "kind": "editorial_mention",
      "at": "2026-09-21T15:06:51.626Z",
      "event_at": {
        "precision": "time",
        "value": "2026-09-21T15:06:51.626Z"
      },
      "historical": false,
      "source": "editorial",
      "source_label": "Alex Getman",
      "url": "https://alexgetman.com/440/gpt-6-luna-may-already-be-in-a-b-testing/",
      "quote": "GPT-6 Luna may already be in A/B testing.\n\nSome GPT-5.6 Luna requests are being served as GPT-6 Luna behind the scenes.",
      "co_mentions": [
        "gpt-6-luna",
        "gpt-5"
      ]
    },
    {
      "reference": "record:openai-chatgpt-release-notes:2026-08-06:updates-to-gpt-5-6-in-chatgpt:gpt-5.6-luna",
      "kind": "editorial_mention",
      "at": "2026-10-07T18:13:28.058Z",
      "event_at": {
        "precision": "time",
        "value": "2026-08-06T00:00:00Z"
      },
      "historical": true,
      "source": "openai-chatgpt-release-notes",
      "source_label": "OpenAI · ChatGPT release notes",
      "url": "https://help.openai.com/en/articles/6825453-chatgpt-release-notes",
      "quote": "GPT‑5.6 Luna will become the default model for Free and Go users this week",
      "co_mentions": []
    },
    {
      "reference": "code:github:openai/openai-agents-js:models:gpt-5.6-luna",
      "kind": "catalogue_listed",
      "at": "2026-11-10T17:58:10.980Z",
      "historical": false,
      "code_usage": "production",
      "source": "github:openai/openai-agents-js:models",
      "source_label": "GitHub · openai/openai-agents-js · code",
      "url": "https://github.com/openai/openai-agents-js/blob/7589b9c40120b89a7d2d28a5a60b4defe1ed7bf5/packages/agents-core/src/defaultModel.ts",
      "quote": "t5ReasoningSettingsRequired(getDefaultModel());\n}\n\n/**\n * Returns the default model name.\n */\nexport function getDefaultModel(): string {\n  const env = loadEnv();\n  return (\n    env[OPENAI_DEFAULT_MODEL_ENV_VARIABLE_NAME]?.toLowerCase() ?? 'gpt-5.6-luna'\n  );\n}\n\n/**\n * Returns the default model settings.\n * GPT-5-and-newer reasoning models receive model-specific defaults when known.\n * Otherwise, returns the legacy default model settings.\n */\nexport function getDefaultModelSettings(model?: string): ModelSettings {\n  const _model = model ?? getDefaultModel();\n  if (isGpt5OrNewerReasoningModel(_model)) {\n    const effort = getDefaultReasoningEffort(_model);\n    if (effort !== undefined) {\n      return {\n        reasoning: { effort },\n        text: { verbosity: 'low' },\n      };\n    }\n    return {\n      // Keep the shared text verbosity default, but omit reasoning.effort for\n      //",
      "co_mentions": []
    },
    {
      "reference": "code:github:openai/openai-python:models:gpt-5.6-luna",
      "kind": "catalogue_listed",
      "at": "2026-11-10T17:58:16.002Z",
      "historical": false,
      "code_usage": "production",
      "source": "github:openai/openai-python:models",
      "source_label": "GitHub · openai/openai-python · code",
      "url": "https://github.com/openai/openai-python/blob/0ebd00647f6088fb100b03440c6c4554bbab549d/src/openai/types/beta/beta_responses_client_event.py",
      "quote": "\"\n\n    model: Union[\n        Literal[\n            \"gpt-6-astra\",\n            \"gpt-6.1-sol\",\n            \"gpt-6.1-terra\",\n            \"gpt-6-sol\",\n            \"gpt-6-luna\",\n            \"gpt-5.6-sol\",\n            \"gpt-5.6-terra\",\n            \"gpt-5.6-luna\",\n            \"gpt-5.5\",\n            \"gpt-5.5-2026-04-23\",\n            \"gpt-5.4\",\n            \"gpt-5.4-mini\",\n            \"gpt-5.4-nano\",\n            \"gpt-5.4-mini-2026-03-17\",\n            \"gpt-5.4-nano-2026-03-17\",\n            \"gpt-5.3-chat-latest\",\n            \"gpt-5.2\",\n            \"gpt-5.2-2025-12-11\",\n            \"gpt-5.2-chat-latest\",\n            \"gpt-5.2-pro\",\n            \"gpt-5.2-pro-2025-12-11\",\n            \"gpt-5.1\",\n            \"gpt-5.1-2025-11-13\",\n            \"gpt-5.1-codex\",\n            \"gpt-5.1-mini\",\n            \"gpt-5.1-chat-latest\",\n            \"gpt-5\",\n            \"gpt-5-mini\",\n            \"gpt-5-nano\",\n         ",
      "co_mentions": []
    },
    {
      "reference": "code:github:openai/openai-agents-python:models:gpt-5.6-luna",
      "kind": "catalogue_listed",
      "at": "2026-11-10T17:59:50.472Z",
      "historical": false,
      "code_usage": "example",
      "source": "github:openai/openai-agents-python:models",
      "source_label": "GitHub · openai/openai-agents-python · code",
      "url": "https://github.com/openai/openai-agents-python/blob/d68961657843c7d81dfc25834484f8aac2957eb3/docs/ja/models/index.md",
      "quote": "#third-party-adapters) |\n\n## OpenAI モデル {#openai-models}\n\nOpenAI のみを使用するほとんどのアプリでは、デフォルトの OpenAI プロバイダーで文字列のモデル名を使用し、Responses モデル経路を維持する方法を推奨します。\n\n[`Agent`][agents.agent.Agent] でモデルを指定しない場合、Agents SDK はコスト重視で大量処理を行うエージェントワークフロー向けに、デフォルトで [`gpt-5.6-luna`](https://developers.openai.com/api/docs/models/gpt-5.6-luna) を `reasoning.effort=\"none\"` および `verbosity=\"low\"` とともに使用します。最先端の能力が必要なアプリケーションでは、`model=\"gpt-5.6-sol\"` を明示的に設定し、ワークロードに適した `model_settings` を選択できます。\n\n`gpt-5.6-sol` などの別のモデルへ切り替える場合、エージェントを設定する方法は 2 つあります。\n\n### デフォルトモデル {#default-model}\n\nまず、カスタムモデルを設定していないすべてのエージェントで特定のモデルを一貫して使用する場合は、エージェントを実行する前に `OPENAI_DEFAULT_MODEL` 環境変数を設定します。\n\n```bash\nexport OPENAI_DEFAULT_MODEL=gpt-5.6-sol\npython3 my_awesome_agent.py\n```\n\n次に、`RunConfig` を使用して、実行単位のデフォルトモデルを設定できます。エージェントにモデルを設定していない場合、この実行のモデルが使用されます。\n\n```python\nfrom agents import Agent, RunConfig, Runner\n\nagent = Agent(\n    name=\"",
      "co_mentions": []
    },
    {
      "reference": "code:github:openai/codex:models:gpt-5.6-luna:Production",
      "kind": "catalogue_listed",
      "at": "2026-11-10T18:00:44.369Z",
      "historical": false,
      "code_usage": "production",
      "source": "github:openai/codex:models",
      "source_label": "GitHub · openai/codex · code",
      "url": "https://github.com/openai/codex/blob/82e6bacb9c6950d3b56cb153847fa80bdd698053/codex-rs/model-provider/src/amazon_bedrock/catalog.rs",
      "quote": "se super::BedrockEndpoint;\n\nconst GPT_5_BEDROCK_CONTEXT_WINDOW: i64 = 272_000;\nconst GPT_5_6_SOL_OPENAI_MODEL_ID: &str = \"gpt-5.6-sol\";\nconst GPT_5_6_TERRA_OPENAI_MODEL_ID: &str = \"gpt-5.6-terra\";\nconst GPT_5_6_LUNA_OPENAI_MODEL_ID: &str = \"gpt-5.6-luna\";\nconst GPT_6_1_SOL_OPENAI_MODEL_ID: &str = \"gpt-6.1-sol\";\nconst GPT_6_1_TERRA_OPENAI_MODEL_ID: &str = \"gpt-6.1-terra\";\nconst GPT_6_SOL_OPENAI_MODEL_ID: &str = \"gpt-6-sol\";\nconst GPT_6_LUNA_OPENAI_MODEL_ID: &str = \"gpt-6-luna\";\nconst GPT_6_ASTRA_OPENAI_MODEL_ID: &str = \"gpt-6-astra\";\nconst GPT_5_5_OPENAI_MODEL_ID: &str = \"gpt-5.5\";\n\npub(crate) fn static_model_catalog() -> ModelsResponse {\n    let catalog = ModelsResponse {\n        models: vec![\n            bedrock_model(\n                bundled_openai_model(GPT_6_1_SOL_OPENAI_MODEL_ID),\n                AMAZON_BEDROCK_GPT_6_1_SOL_MODEL_ID,\n                \"GPT-6.1 Sol\",\n            ",
      "co_mentions": []
    },
    {
      "reference": "code:github:openai/codex:models:gpt-5.6-luna:Test",
      "kind": "catalogue_listed",
      "at": "2026-11-10T18:00:44.369Z",
      "historical": false,
      "code_usage": "test",
      "source": "github:openai/codex:models",
      "source_label": "GitHub · openai/codex · code",
      "url": "https://github.com/openai/codex/blob/627b579219d492b5445d6d433d3110eb53e507dc/codex-rs/app-server/tests/suite/v2/guardian_v2_model_tests.rs",
      "quote": "\").plan_type(\"pro\"),\n        AuthCredentialsStoreMode::File,\n    )?;\n    let config = load_default_config_for_test(&codex_home).await;\n    let models = [MODEL, \"gpt-5.6-luna\", \"gpt-6.1-sol\"]\n        .into_iter()\n        .map(|slug| {\n            let mut info = codex_core::test_support::construct_model_info_offline(slug, &config);\n            if slug == MODEL {\n                info.auto_review_model_override = Some(\"gpt-6.1-sol\".to_owned());\n            }\n            info\n        })",
      "co_mentions": []
    },
    {
      "reference": "code:github:openai/openai-agents-python:models:gpt-5.6-luna:Production:0a60662c38f8e19317ff256f3f85415ef13ee9c0f90a4448d8c8568c6b42b54f",
      "kind": "catalogue_listed",
      "at": "2026-11-10T20:40:17.231Z",
      "historical": true,
      "code_usage": "production",
      "source": "github:openai/openai-agents-python:models",
      "source_label": "GitHub · openai/openai-agents-python · code",
      "url": "https://github.com/openai/openai-agents-python/blob/d68961657843c7d81dfc25834484f8aac2957eb3/src/agents/agent.py",
      "quote": "\n    \"\"\"\n\n    model: str | Model | None = None\n    \"\"\"The model implementation to use when invoking the LLM.\n\n    By default, if not set, the agent will use the default model configured in\n    `agents.models.get_default_model()` (currently \"gpt-5.6-luna\").\n    \"\"\"\n\n    model_settings: ModelSettings = field(default_factory=_default_agent_model_settings)\n    \"\"\"Configures model-specific tuning parameters (e.g. temperature, top_p).\n\n    Accepts a ``ModelSettings`` instance or a dictionary containing its fields.\n    \"\"\"\n\n    input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list)\n    \"\"\"A list of checks that run in parallel to the agent's execution, before generating a\n    response. Runs only if the agent is the first agent in the chain.\n    \"\"\"\n\n    output_guardrails: list[OutputGuardrail[TContext]] = field(default_factory=list)\n    \"\"\"A list of checks that run",
      "co_mentions": []
    },
    {
      "reference": "code:github:openai/openai-node:models:gpt-5.6-luna:Production:3caac2245c217945668a0718b72fcf2d94d5cb6a0e8fd650066a546eebc157d4",
      "kind": "catalogue_listed",
      "at": "2026-11-12T18:45:20.401Z",
      "historical": false,
      "code_usage": "production",
      "source": "github:openai/openai-node:models",
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