Alex GetmanMga maagang senyal sa AI

GPT-6 Luna

OpenAI

Inilabas Na-update
Context window
1M
1,050,000 token
Pinakamahabang output
128K
128,000 token
Input / Output
teksto, larawan → teksto

Mga presyo ng API

USD / 1 milyong token

InputOutputNaka-cache na input
  • $0.10
openrouter
  • $0.50
openrouter
  • $0.01
openrouter

Takdang panahon

  1. · Magagamit sa API · link sa ebidensiya
  2. · Update sa produkto · link sa ebidensiya
Presyo ng input / output · USD / 1 milyong token
ModeloMga link sa ebidensiyaPresyo ng input / output
gpt-6-luna
batch · long context
openai
Hindi available ang ruta ng API
$0.10 (Input > 272,000 token) / $0.375 (Input > 272,000 token)
gpt-6-luna
batch · short context
openai
Hindi available ang ruta ng API
$0.05 (Input ≤ 272,000 token) / $0.25 (Input ≤ 272,000 token)
gpt-6-luna
fast · long context
openai
Hindi available ang ruta ng API
$0.40 (Input > 272,000 token) / $1.50 (Input > 272,000 token)
gpt-6-luna
fast · short context
openai
Hindi available ang ruta ng API
$0.20 (Input ≤ 272,000 token) / $1.00 (Input ≤ 272,000 token)
gpt-6-luna
flex · long context
openai
Hindi available ang ruta ng API
$0.10 (Input > 272,000 token) / $0.375 (Input > 272,000 token)
gpt-6-luna
flex · short context
openai
Hindi available ang ruta ng API
$0.05 (Input ≤ 272,000 token) / $0.25 (Input ≤ 272,000 token)
gpt-6-luna
standard · long context
openai
Hindi available ang ruta ng API
$0.20 (Input > 272,000 token) / $0.75 (Input > 272,000 token)
gpt-6-luna
standard · short context
openai
Hindi available ang ruta ng API
$0.10 (Input ≤ 272,000 token) / $0.50 (Input ≤ 272,000 token)
gpt-6-luna
standard · teksto
opencode-go$0.10 / $0.50
openai/gpt-6-luna-pro
standard
openrouter$0.10 / $0.50
openai/gpt-6-luna-pro:batch
batch
openrouter$0.05 / $0.25
  1. · Kumpirmadong paggamit · OpenAI · official articles · How Amplitude ships product improvements in 1–2 days with OpenAI
    Sipi
    For high-volume work such as scanning code and running small evaluation checks, Amplitude uses GPT‑6 Luna to keep latency and cost low
  2. · Pagkakalista sa katalogo · GitHub · openai/openai-node · code
    Sipi
    shutdown date: 2026-09-28. See * https://developers.openai.com/api/docs/deprecations for details and * recommended replacements. */ model: | 'gpt-6-astra' | 'gpt-6.1-sol' | 'gpt-6.1-terra' | 'gpt-6-sol' | 'gpt-6-luna' | 'gpt-5.6-sol' | 'gpt-5.6-terra' | 'gpt-5.6-luna' | 'gpt-5.5' | 'gpt-5.5-2026-04-23' | 'gpt-5.4' | 'gpt-5.4-mini' | 'gpt-5.4-nano' | 'gpt-5.4-mini-2026-03-17' | 'gpt-5.4-nano-2026-03-17' | 'gpt-5.3-chat-latest' | 'gpt-5.2' | 'gpt-5.2-2025-12-11' | 'gpt-5.2-chat-latest' | 'gpt-5.2-pro' | 'gpt-5.2-pro-2025-12-11' | 'gpt-5.1' | 'gpt-5.1-2025-11-13' | 'gpt-5.1-codex' | 'gpt-5.1-mini' | 'gpt-5.1-chat-latest' | 'gpt-5' | 'gpt-5-mini' | 'gpt-5-nano' | 'gpt-5-2025-08-07' | 'gpt-5-mini-2025-08-07' | 'gpt-5-nano-2025-08-07' | 'gp
  3. · Pagkakalista sa katalogo · GitHub · openai/openai-agents-python · code
    Sipi
    ry and should be used only when that history may be sent. """ def __init__( self, session_id: str, underlying_session: Session, *, client: AsyncOpenAI | None = None, model: str = "gpt-6-luna", compaction_mode: OpenAIResponsesCompactionMode = "auto", should_trigger_compaction: Callable[[dict[str, Any]], bool] | None = None, max_rollback_items: int | None = None, ): """Initialize the compaction session. Args: session_id: Identifier for this session. underlying_session: Session store that holds the compacted history. Cannot be OpenAIConversationsSession. client: OpenAI client for responses.compact API calls. Defaults to get_default_openai_client() or new AsyncOpenAI(). model: Model to use for respon
  4. · Pagkakalista sa katalogo · GitHub · openai/codex · code
    Sipi
    _ID: &str = "gpt-5.6-luna"; const GPT_6_1_SOL_OPENAI_MODEL_ID: &str = "gpt-6.1-sol"; const GPT_6_1_TERRA_OPENAI_MODEL_ID: &str = "gpt-6.1-terra"; const GPT_6_SOL_OPENAI_MODEL_ID: &str = "gpt-6-sol"; const GPT_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-6-luna"; const GPT_6_ASTRA_OPENAI_MODEL_ID: &str = "gpt-6-astra"; const GPT_5_5_OPENAI_MODEL_ID: &str = "gpt-5.5"; pub(crate) fn static_model_catalog() -> ModelsResponse { let catalog = ModelsResponse { models: vec![ bedrock_model( bundled_openai_model(GPT_6_1_SOL_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_1_SOL_MODEL_ID, "GPT-6.1 Sol", /*priority*/ 0, ), bedrock_model( bundled_openai_model(GPT_6_ASTRA_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_ASTRA_MODEL_ID, "GPT-6-Astra",
  5. · Pagkakalista sa katalogo · GitHub · openai/openai-agents-python · code
    Sipi
    s` リストが含まれます。質問名で回答をインデックス化し、型固有のフィールドを読み取る前に、各回答の `type` を確認します。 ```python from openai import AsyncOpenAI async def is_support_request(client: AsyncOpenAI, text: str) -> bool: decision = await client.decisions.create( model="gpt-6-luna", input=text, questions=[ { "type": "predicate", "name": "in_scope", "instructions": "Is this a request for help with a software product?", } ], ) answers = {answer.name: answer for answer in decision.answers} answer = answers.get("in_scope") if answer is None or answer.type != "predicate": return False return answer.probability >= 0.8 ``` 上記のしきい値は例示です。アプリケーションのラベル付きサンプルを使用してしきい値を選択してください。拒否は 1 つの質問に適用されます。同じレスポンス内の別の質問は、引き続き回答を返す可能性があります。拒否、回答の欠落、API エラーを各ワークフローでどのように処理するかを個別に決定してください。コード例では、利用できない分類器を肯定的な回答

    Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.

  6. · Pagkakalista sa katalogo · GitHub · openai/openai-python · code
    Sipi
    characters. Values are strings with a maximum length of 512 characters. """ model: Union[ Literal[ "gpt-6-astra", "gpt-6.1-sol", "gpt-6.1-terra", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.5", "gpt-5.5-2026-04-23", "gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", "gpt-5.4-mini-2026-03-17", "gpt-5.4-nano-2026-03-17", "gpt-5.3-chat-latest", "gpt-5.2", "gpt-5.2-2025-12-11", "gpt-5.2-chat-latest", "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.1", "gpt-5.1-2025-11-13", "gpt-5.1-codex", "gpt-5.1-mini", "gpt-5.1-chat-latest"
  7. · Pagkakalista sa katalogo · GitHub · openai/openai-agents-js · code
    Sipi
    derPrefix.toLowerCase(); const withoutPinnedDate = normalized.replace(/-\d{4}-\d{2}-\d{2}$/u, ''); return [...new Set([normalized, withoutPinnedDate])]; } const SANDBOX_CONTEXT_WINDOWS_1M = new Set([ 'gpt-6-astra', 'gpt-6-sol', 'gpt-6-luna', 'gpt-6.1-sol', 'gpt-5.6', 'gpt-5.6-sol', 'gpt-5.6-terra', 'gpt-5.6-luna', 'gpt-5.4', 'gpt-5.4-2026-03-05', 'gpt-5.4-pro', 'gpt-5.4-pro-2026-03-05', 'gpt-4.1', 'gpt-4.1-2025-04-14', 'gpt-4.1-mini', 'gpt-4.1-mini-2025-04-14', 'gpt-4.1-nano', 'gpt-4.1-nano-2025-04-14', ]); const SANDBOX_CONTEXT_WINDOWS_400K = new Set([ 'gpt-5', 'gpt-5-codex', 'gpt-5-mini', 'gpt-5-nano', 'gpt-5-pro', 'gpt-5.1', 'gpt-5.1-codex', 'gpt-5.1-codex-max', 'gpt-5.1-codex-mini', 'gpt-5.2', 'gpt-5.2-codex', 'gpt-5.2-codex-cyber', 'gpt-5.2-pro', 'gpt-5.3-codex', 'gpt-5.3-codex-spark', 'gpt-5.4-mini'
  8. · Mga post ni Alex · Alex Getman
    Sipi
    Meta just launched Muse Ember, a new competitor to GPT-6 Luna and Claude Haiku 5.5. It scores 36 points on the AA Intelligence Index, matching Claude Haiku 5.5 while costing 3x less per task.
  9. · Pagkakalista sa katalogo · Vertex AI · quotas
  10. · Mga post ni Alex · Alex Getman
    Sipi
    AI subscription buying guide: $1 - Command Code $10 - OpenCode $20 - Claude $40 - Claude + GPT $120 - Claude Max + GPT At $1 and $10, you’re basically just paying for DeepSeek through these providers and getting it in bulk. For $1, you get $10 of DeepSeek and for $10, you get $60 of DeepSeek, which is basically impossible to burn through. DeepSeek obviously isn’t an S-tier model. I’d put it somewhere around B-tier, but at these prices it makes a lot of sense. At $20, Claude Pro. Probably the best value subscription on the market. Opus got cheaper, and the model itself is stronger than Astra, so there’s not much to think about here. At $40, I’d go with Claude Pro + ChatGPT Plus. ChatGPT
  11. · Pagkakalista sa katalogo · OpenAI API
  12. · Mga post ni Alex · Alex Getman
    Sipi
    Little Haiku is finally coming back. I think it’ll give GPT-6 Luna some solid competition.
  13. · Mga post ni Alex · Alex Getman
    Sipi
    GPT-6 Luna may already be in A/B testing. Some GPT-5.6 Luna requests are being served as GPT-6 Luna behind the scenes.
  14. · Mga post ni Alex · Alex Getman
    Sipi
    🚨 GPT-6 Sol is already being tested internally There is a good chance it drops on DevDay, Sep 29. Tibo said Astra pulled some OpenAI releases forward by six months. Sol feels like the obvious candidate. GPT-6 Luna could show up too.

Mga link sa ebidensiya

Mga senyal 1

OpenAIInilabas

GPT-6 Luna

Nakumpirma15 sanggunian
Mga espesipikasyon

Ang GPT-6 Luna ay isang modelo mula sa OpenAI, na inilabas noong 2026-09-22. Ang context window ay 1,050,000 token. Ang pinakamahabang output ay 128,000 token. Ang presyo ay $0.10 sa bawat isang milyong input token at $0.50 sa bawat isang milyong output token.

Context window
1,050,000
Pinakamahabang output
128,000
Input
teksto · larawan
Output
teksto
Input · USD / 1 milyong token
$0.10
Output · USD / 1 milyong token
$0.50
Naka-cache na input · USD / 1 milyong token
$0.01

Mga tanong

Gaano kalaki ang context window ng GPT-6 Luna?

Ang context window ay 1,050,000 token. Ang pinakamahabang output ay 128,000 token.

Magkano ang GPT-6 Luna?

Ang presyo ay $0.10 sa bawat isang milyong input token at $0.50 sa bawat isang milyong output token. Ang naka-cache na input ay $0.01 sa bawat isang milyong token.

Kailan inilabas ang GPT-6 Luna?

Noong 2026-09-22.