Alex Getmanerken yapay zeka sinyalleri

GPT-5.6 Luna

OpenAI

Yayımlandı Güncellendi
Bağlam penceresi
1M
1.050.000 token
Maksimum çıktı
128K
128.000 token
Girdi / Çıktı
metin, görüntü → metin

API fiyatları

USD / 1 milyon token

GirdiÇıktıÖnbellekten girdi
  • $0,20
openrouter
  • $1,20
openrouter
  • $0,02
openrouter

Zaman çizelgesi

  1. · API kullanılabilirliği · kanıt bağlantısı
Girdi / çıktı fiyatı · USD / 1 milyon token
ModelKanıt bağlantılarıGirdi / çıktı fiyatı
gpt-5.6-luna
batch · long context
openai
API yolu kullanılamıyor
$0,20 (Girdi > 272.000 token) / $0,90 (Girdi > 272.000 token)
gpt-5.6-luna
batch · short context
openai
API yolu kullanılamıyor
$0,10 (Girdi ≤ 272.000 token) / $0,60 (Girdi ≤ 272.000 token)
gpt-5.6-luna
fast · long context
openai
API yolu kullanılamıyor
$0,80 (Girdi > 272.000 token) / $3,60 (Girdi > 272.000 token)
gpt-5.6-luna
fast · short context
openai
API yolu kullanılamıyor
$0,40 (Girdi ≤ 272.000 token) / $2,40 (Girdi ≤ 272.000 token)
gpt-5.6-luna
flex · long context
openai
API yolu kullanılamıyor
$0,20 (Girdi > 272.000 token) / $0,90 (Girdi > 272.000 token)
gpt-5.6-luna
flex · short context
openai
API yolu kullanılamıyor
$0,10 (Girdi ≤ 272.000 token) / $0,60 (Girdi ≤ 272.000 token)
gpt-5.6-luna
standard · long context
openai
API yolu kullanılamıyor
$0,40 (Girdi > 272.000 token) / $1,80 (Girdi > 272.000 token)
gpt-5.6-luna
standard · short context
openai
API yolu kullanılamıyor
$0,20 (Girdi ≤ 272.000 token) / $1,20 (Girdi ≤ 272.000 token)
gpt-5.6-luna
standard · metin
opencode-go$0,20 / $1,20
openai/gpt-5.6-luna-pro
standard
openrouter$0,20 / $1,20
openai/gpt-5.6-luna-pro:batch
batch
openrouter$0,10 / $0,60
  1. · Doğrulanmış kullanım · OpenAI · official articles · How we detect frontier model misalignment
  2. · Katalog kaydı · GitHub · openai/openai-node · code
    Alıntı
    ai.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' | 'gpt-5-chat-latest' | 'gpt-4.1' | 'gpt-4.1-mini' | 'gp
  3. · Katalog kaydı · GitHub · openai/openai-agents-python · code
    Alıntı
    """ model: str | Model | None = None """The model implementation to use when invoking the LLM. By default, if not set, the agent will use the default model configured in `agents.models.get_default_model()` (currently "gpt-5.6-luna"). """ model_settings: ModelSettings = field(default_factory=_default_agent_model_settings) """Configures model-specific tuning parameters (e.g. temperature, top_p). Accepts a ``ModelSettings`` instance or a dictionary containing its fields. """ input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. """ output_guardrails: list[OutputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run
  4. · Katalog kaydı · GitHub · openai/codex · code
    Alıntı
    ").plan_type("pro"), AuthCredentialsStoreMode::File, )?; let config = load_default_config_for_test(&codex_home).await; let models = [MODEL, "gpt-5.6-luna", "gpt-6.1-sol"] .into_iter() .map(|slug| { let mut info = codex_core::test_support::construct_model_info_offline(slug, &config); if slug == MODEL { info.auto_review_model_override = Some("gpt-6.1-sol".to_owned()); } info })

    Bu kod başvurusu, kullanılan bir model tanımlayıcısını doğrulamaz.

  5. · Katalog kaydı · GitHub · openai/codex · code
    Alıntı
    se super::BedrockEndpoint; const GPT_5_BEDROCK_CONTEXT_WINDOW: i64 = 272_000; const GPT_5_6_SOL_OPENAI_MODEL_ID: &str = "gpt-5.6-sol"; const GPT_5_6_TERRA_OPENAI_MODEL_ID: &str = "gpt-5.6-terra"; const GPT_5_6_LUNA_OPENAI_MODEL_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",
  6. · Katalog kaydı · GitHub · openai/openai-agents-python · code
    Alıntı
    #third-party-adapters) | ## OpenAI モデル {#openai-models} OpenAI 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。 [`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。 `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。 ### デフォルトモデル {#default-model} 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。 ```bash export OPENAI_DEFAULT_MODEL=gpt-5.6-sol python3 my_awesome_agent.py ``` 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。 ```python from agents import Agent, RunConfig, Runner agent = Agent( name="

    Bu kod başvurusu, kullanılan bir model tanımlayıcısını doğrulamaz.

  7. · Katalog kaydı · GitHub · openai/openai-python · code
    Alıntı
    " 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", "gpt-5", "gpt-5-mini", "gpt-5-nano",
  8. · Katalog kaydı · GitHub · openai/openai-agents-js · code
    Alıntı
    t5ReasoningSettingsRequired(getDefaultModel()); } /** * Returns the default model name. */ export function getDefaultModel(): string { const env = loadEnv(); return ( env[OPENAI_DEFAULT_MODEL_ENV_VARIABLE_NAME]?.toLowerCase() ?? 'gpt-5.6-luna' ); } /** * Returns the default model settings. * GPT-5-and-newer reasoning models receive model-specific defaults when known. * Otherwise, returns the legacy default model settings. */ export function getDefaultModelSettings(model?: string): ModelSettings { const _model = model ?? getDefaultModel(); if (isGpt5OrNewerReasoningModel(_model)) { const effort = getDefaultReasoningEffort(_model); if (effort !== undefined) { return { reasoning: { effort }, text: { verbosity: 'low' }, }; } return { // Keep the shared text verbosity default, but omit reasoning.effort for //
  9. · Kanıt bağlantıları · OpenAI · ChatGPT release notes
    Alıntı
    GPT‑5.6 Luna will become the default model for Free and Go users this week
  10. · Alex'in gönderileri · Alex Getman
    Alıntı
    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.
  11. · Alex'in gönderileri · Alex Getman
    Alıntı
    ⚡️ OpenAI added Luna Reserve after you hit your usage limits The 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.
  12. · Alex'in gönderileri · Alex Getman
    Alıntı
    GPT 5.6 Luna is now a native subagent It 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.
  13. · Alex'in gönderileri · Alex Getman
    Alıntı
    Over the last few days, I burned through around 1.5 billion tokens using GPT-5.6 Luna. At 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. My main takeaway is that the model is genuinely very good. For 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. Longer 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
  14. · Alex'in gönderileri · Alex Getman
    Alıntı
    ⚡️ GPT 5.6 Luna is becoming the default model for ChatGPT Free and Go users Starting next week, it will also come with unlimited text chats and a new Think button for harder questions.
  15. · Alex'in gönderileri · Alex Getman
    Alıntı
    ⚡️ Alibaba released Qwen 3.8 Max The new 2.4T parameter flagship benchmarks in the same league as GPT-5.6 Sol, Claude Opus 4.8 and Fable 5. API pricing is $2/M input and $6/M output, roughly half the cost of GPT-5.6 Terra and Claude Sonnet. Now it’s up to users to see whether Qwen can beat DeepSeek-V4-Flash and GPT-5.6 Luna on price to performance.
  16. · Alex'in gönderileri · Alex Getman
    Alıntı
    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.
  17. · Alex'in gönderileri · Alex Getman
    Alıntı
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Sinyaller 2

Özellikler

GPT-5.6 Luna, OpenAI tarafından geliştirilen bir yapay zekâ modelidir. Yayın tarihi: 2026-07-09. Bağlam penceresi 1.050.000 token uzunluğundadır. Model en fazla 128.000 token üretebilir. Bir milyon token başına giriş ücreti $0,20, çıkış ücreti $1,20 tutarındadır.

Bağlam penceresi
1.050.000
Maksimum çıktı
128.000
Girdi
metin · görüntü
Çıktı
metin
Girdi · USD / 1 milyon token
$0,20
Çıktı · USD / 1 milyon token
$1,20
Önbellekten girdi · USD / 1 milyon token
$0,02

Sorular

GPT-5.6 Luna modelinin bağlam penceresi ne kadar?

Bağlam penceresi 1.050.000 token uzunluğundadır. Model en fazla 128.000 token üretebilir.

GPT-5.6 Luna modelinin fiyatı nedir?

Bir milyon token başına giriş ücreti $0,20, çıkış ücreti $1,20 tutarındadır. Önbellekten girdi fiyatı milyon token başına $0,02.

GPT-5.6 Luna ne zaman piyasaya sürüldü?

2026-07-09.