Alex GetmanAI चे आगाऊ संकेत

GPT-6 Luna

OpenAI

रिलीज झाले अद्ययावत
कॉन्टेक्स्ट विंडो
1M
10,50,000 टोकन
कमाल आउटपुट
128K
1,28,000 टोकन
इनपुट / आउटपुट
मजकूर, प्रतिमा → मजकूर

API किमती

USD / 10 लाख टोकन

इनपुटआउटपुटकॅश केलेले इनपुट
  • $0.10
openrouter
  • $0.50
openrouter
  • $0.01
openrouter

कालरेषा

  1. · API वर उपलब्धता · पुराव्याची लिंक
  2. · उत्पादन अद्ययावत · पुराव्याची लिंक
इनपुट / आउटपुट किंमत · USD / 10 लाख टोकन
मॉडेलपुराव्यांच्या लिंकइनपुट / आउटपुट किंमत
gpt-6-luna
batch · long context
openai
API मार्ग उपलब्ध नाही
$0.10 (इनपुट > 2,72,000 टोकन) / $0.375 (इनपुट > 2,72,000 टोकन)
gpt-6-luna
batch · short context
openai
API मार्ग उपलब्ध नाही
$0.05 (इनपुट ≤ 2,72,000 टोकन) / $0.25 (इनपुट ≤ 2,72,000 टोकन)
gpt-6-luna
fast · long context
openai
API मार्ग उपलब्ध नाही
$0.40 (इनपुट > 2,72,000 टोकन) / $1.50 (इनपुट > 2,72,000 टोकन)
gpt-6-luna
fast · short context
openai
API मार्ग उपलब्ध नाही
$0.20 (इनपुट ≤ 2,72,000 टोकन) / $1.00 (इनपुट ≤ 2,72,000 टोकन)
gpt-6-luna
flex · long context
openai
API मार्ग उपलब्ध नाही
$0.10 (इनपुट > 2,72,000 टोकन) / $0.375 (इनपुट > 2,72,000 टोकन)
gpt-6-luna
flex · short context
openai
API मार्ग उपलब्ध नाही
$0.05 (इनपुट ≤ 2,72,000 टोकन) / $0.25 (इनपुट ≤ 2,72,000 टोकन)
gpt-6-luna
standard · long context
openai
API मार्ग उपलब्ध नाही
$0.20 (इनपुट > 2,72,000 टोकन) / $0.75 (इनपुट > 2,72,000 टोकन)
gpt-6-luna
standard · short context
openai
API मार्ग उपलब्ध नाही
$0.10 (इनपुट ≤ 2,72,000 टोकन) / $0.50 (इनपुट ≤ 2,72,000 टोकन)
gpt-6-luna
standard · मजकूर
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. · वापराची पुष्टी · OpenAI · official articles · How Amplitude ships product improvements in 1–2 days with OpenAI
    उतारा
    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. · कॅटलॉगमधील नोंद · GitHub · openai/openai-node · code
    उतारा
    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. · कॅटलॉगमधील नोंद · GitHub · openai/openai-agents-python · code
    उतारा
    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. · कॅटलॉगमधील नोंद · GitHub · openai/codex · code
    उतारा
    _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. · कॅटलॉगमधील नोंद · GitHub · openai/openai-agents-python · code
    उतारा
    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

    कोडमधील हा उल्लेख वापरात असलेल्या मॉडेल ओळखचिन्हाची पुष्टी करत नाही.

  6. · कॅटलॉगमधील नोंद · GitHub · openai/openai-python · code
    उतारा
    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. · कॅटलॉगमधील नोंद · GitHub · openai/openai-agents-js · code
    उतारा
    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. · अॅलेक्सच्या पोस्ट · Alex Getman
    उतारा
    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. · कॅटलॉगमधील नोंद · Vertex AI · quotas
  10. · अॅलेक्सच्या पोस्ट · Alex Getman
    उतारा
    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. · कॅटलॉगमधील नोंद · OpenAI API
  12. · अॅलेक्सच्या पोस्ट · Alex Getman
    उतारा
    Little Haiku is finally coming back. I think it’ll give GPT-6 Luna some solid competition.
  13. · अॅलेक्सच्या पोस्ट · Alex Getman
    उतारा
    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. · अॅलेक्सच्या पोस्ट · Alex Getman
    उतारा
    🚨 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.

पुराव्यांच्या लिंक

संकेत 1

तांत्रिक तपशील

GPT-6 Luna हे OpenAI चे मॉडेल आहे; रिलीजची तारीख 2026-09-22। कॉन्टेक्स्ट विंडो 10,50,000 टोकन आहे। कमाल आउटपुट 1,28,000 टोकन आहे। प्रति दहा लाख इनपुट टोकनचा दर $0.10 आणि प्रति दहा लाख आउटपुट टोकनचा दर $0.50 आहे।

कॉन्टेक्स्ट विंडो
10,50,000
कमाल आउटपुट
1,28,000
इनपुट
मजकूर · प्रतिमा
आउटपुट
मजकूर
इनपुट · USD / 10 लाख टोकन
$0.10
आउटपुट · USD / 10 लाख टोकन
$0.50
कॅश केलेले इनपुट · USD / 10 लाख टोकन
$0.01

प्रश्न

GPT-6 Luna ची कॉन्टेक्स्ट विंडो किती आहे?

कॉन्टेक्स्ट विंडो 10,50,000 टोकन आहे। कमाल आउटपुट 1,28,000 टोकन आहे।

GPT-6 Luna ची किंमत किती आहे?

प्रति दहा लाख इनपुट टोकनचा दर $0.10 आणि प्रति दहा लाख आउटपुट टोकनचा दर $0.50 आहे। कॅश केलेल्या इनपुटचा दर प्रति दहा लाख टोकनसाठी $0.01 आहे।

GPT-6 Luna कधी रिलीज झाले?

2026-09-22 रोजी।